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Relevant bibliographies by topics / Breast software model

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Academic literature on the topic 'Breast software model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Breast software model"

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George, Baytchev, Inkov Ivan, Kyuchukov Nikola, and Zlateva Emilia. "BREAST CANCER RISK EVALUATION - A CORRELATION BETWEEN MAMMOGRAPHIC DENSITY AND THE GAIL MODEL." International Journal of Surgery and Medicine 1, no. 1 (2015): 18–21. https://doi.org/10.5455/ijsm.20150524105608.

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Background: The Gail model is a statistical tool, which assesses breast cancer probability, based on nonmodifiable risk factors. In contrast, the evaluation of mammographic breast density is an independent and dynamic risk factor influenced by interventions modifying breast cancer risk incidence. Objective: The aim of the present study is to compare the possibilities for risk factor integration and analysis and to search for a correlation between mammographic density and the Gail model for breast cancer risk evaluation. Materials and Methods: The subject of this prospective study is a cohort o

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SUN, SHUH-PING, and JING-SHYR CHEN. "THE APPLICATION OF FULL-SCALE 3D ANTHROPOMETRIC DIGITAL MODEL SYSTEM ON BREAST RECONSTRUCTION OF PLASTIC SURGERIES." Biomedical Engineering: Applications, Basis and Communications 15, no. 05 (2003): 200–206. http://dx.doi.org/10.4015/s1016237203000304.

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A full-scale 3D anthropometric digital model system is a set of technology that combined with 3D digital imaging system, computer 3D image processing system, reverse engineering and Computer-Aided Design. The purpose of this studied is to make a full size solid breast model by using the 1:1 anthropometric digital model technique to assist breast reconstruction plastic surgery colon the same size of symmetrical breast of the patient. The full-sized simulating breast model created in this studied not only can assist plastic surgeons by making more symmetric breasts on the other side during the r

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Joó, József Gábor, Mónika Csanád, Katalin Tóth, Szabolcs Máté, and Zsolt Nagy. "Risk assessment in familial breast cancer." Orvosi Hetilap 152, no. 19 (2011): 758–62. http://dx.doi.org/10.1556/oh.2011.29110.

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Women with a history of breast cancer are common at centers for cancer genetic risk all over Europe. Given limited health care resources, managing this demand, while achieving good value for money coming from health services, is generally a major challenge. This paper recapitulates and summarizes the available methods of the risk assessment of familial breast cancer. After a systematic review of the literature Gail-model, Claus-model and BOADICEA-model were selected, as well as softwares (LINKAGE software; MENDEL v3.3 software) available in the application of these algorhythms are also summari

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Dewi, Siti utami, and Rr Tutik Sri Haryati. "Breast Cancer Risk Analysis Using Fuzzy Inference System with the Mamdani Model: Literature Review." JIKO (Jurnal Ilmiah Keperawatan Orthopedi) 5, no. 2 (2022): 40–47. http://dx.doi.org/10.46749/jiko.v5i2.70.

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Breast cancer is one of the most common cancer causes of death in sufferers. Breast cancer is the second leading cause of death for Indonesian women. For this reason, a device that can identify the risk of breast cancer is needed. The fuzzy method with the Mamdani model is one method that has been widely used in software development to determine the level of breast cancer risk. Purpose: To know the software development of the Fuzzy Inference System Method with the Mamdani model to identify the level of breast cancer risk. Methods: This research is a literature study with the data collection pr

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Casesnoves, Francisco. "RADIOTHERAPY GENETIC ALGORITHM PARETO-MULTIOBJECTIVE OPTIMIZATION OF BIOLOGICAL EFFECTIVE DOSE AND CLONOGENS MODELS FOR BREAST TUMOR IMPROVED TREATMENT." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 01 (2023): 3102–14. http://dx.doi.org/10.47191/ijmcr/v11i1.02.

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BED model (Biological Effective Dose) for Hyperfractionation TPO was optimized with Pareto-Multiobjective Genetic Algorithms (GA) software. Secondly, the NEffective (Effective Tumor Population Clonogens Number) model optimization for breast cancer clonogens parameters determination in TPO (Treatment Planning Optimization) is carried out with 3D Graphical and Interior Optimization methods. BED model (Biological Effective Dose) for Hyperfractionation TPO was optimized with Pareto-Multiobjective GA software. Results comprise imaging process series and numerical values of NEffective model for brea

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Al Husaini, Mohammed Abdulla Salim, Mohamed Hadi Habaebi, F. M. Suliman, Md Rafiqul Islam, Elfatih A. A. Elsheikh, and Naser A. Muhaisen. "Influence of Tissue Thermophysical Characteristics and Situ-Cooling on the Detection of Breast Cancer." Applied Sciences 13, no. 15 (2023): 8752. http://dx.doi.org/10.3390/app13158752.

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This article presents a numerical simulation model using COMSOL software to study breast thermophysical properties. It analyzes tumor heat at different locations within the breast, records breast surface temperatures, investigates the effects of factors such as blood perfusion, size, depth, and thermal conductivity on breast size, and applies Pennes’ bioheat formula to illustrate thermal distribution on the breast skin surface. An analysis was conducted to examine how changes in tumor location depth, size, metabolism, blood flow, and heat conductivity affect breast skin surface temperature. Th

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Al-Fahaidy, Farouk A. K., Belal Al-Fuhaidi, Ishaq AL-Darouby, Faheem AL-Abady, Mohammed AL-Qadry, and Abdurhman AL-Gamal. "A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques." Applied Computational Intelligence and Soft Computing 2022 (September 20, 2022): 1–17. http://dx.doi.org/10.1155/2022/3895976.

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Breast cancer disease is one of the most recorded cancers that lead to morbidity and maybe death among women around the world. Recent research statistics have exposed that one from 8 females in the USA and one from 10 females in Europe are contaminated by breast cancer. The challenge with this disease is how to develop a relaxed and fast diagnosing method. One of the attractive ways of early breast cancer diagnosis is based on the mammogram images analysis of the breast using a computer-aided diagnosing (CAD) tool. This paper firstly aimed to propose an efficient method for diagnosing tumors b

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Zoramawa, A. B,, U. Usman, B. A. Magaji, and M. Rabiu. "STUDY ON THE PERFORMANCE OF SOME PARAMETRIC PROPORTIONAL HAZARD MODELS AND SEMI-PARAMETRIC MODEL IN THE ANALYSIS OF BREAST CANCER DATA." FUDMA JOURNAL OF SCIENCES 7, no. 5 (2023): 181–84. http://dx.doi.org/10.33003/fjs-2023-0705-2011.

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A study is conducted on medical records of 416 breast cancer patients. Analysis was performed using the R software version R3.6.3, and the level of significance was set at 0.05. The work employed three models which were based on Exponential, Weibull and Cox Regression models. The Weibull proportional model (AIC=1959.038) was the most appropriate model among the considered models, based on the Akaike information criterion (AIC). Results of the best fitted model showed that the survival time of breast cancer patients is significantly affected by age, age at diagnosis, and treatment taken at 95%.

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Francisco, Casesnoves. "RADIOTHERAPY GENETIC ALGORITHM PARETO-MULTIOBJECTIVE OPTIMIZATION OF BIOLOGICAL EFFECTIVE DOSE AND CLONOGENS MODELS FOR BREAST TUMOR IMPROVED TREATMENT." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 01 (2023): 3102–12. https://doi.org/10.5281/zenodo.7520333.

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BED model (Biological Effective Dose) for Hyperfractionation TPO was optimized with Pareto-Multiobjective Genetic Algorithms (GA) software. Secondly, the N<sub>Effective</sub> (Effective Tumor Population Clonogens Number) model optimization for breast cancer clonogens parameters determination in TPO (Treatment Planning Optimization) is carried out with 3D Graphical and Interior Optimization methods. BED model (Biological Effective Dose) for Hyperfractionation TPO was optimized with Pareto-Multiobjective GA software. Results comprise imaging process series and numerical values of N<sub>Eff

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Baneva, Yanka, Kristina Bliznakova, Lesley Cockmartin, et al. "Evaluation of a breast software model for 2D and 3D X-ray imaging studies of the breast." Physica Medica 41 (September 2017): 78–86. http://dx.doi.org/10.1016/j.ejmp.2017.04.024.

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Book chapters on the topic "Breast software model"

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Bošnački, Dragan, and Gerard J. Holzmann. "Improving Spin’s Partial-Order Reduction for Breadth-First Search." In Model Checking Software. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11537328_10.

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Mohapatra, Subasish, Sarmistha Muduly, Subhadarshini Mohanty, and Santosh Kumar Moharana. "Evaluation of Deep Learning Models for Detecting Breast Cancer Using Mammograms." In Meta Heuristic Techniques in Software Engineering and Its Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11713-8_11.

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Majumdar, Subhabrata, and Terry Vogelsang. "Towards Safe LLMs Integration." In Large Language Models in Cybersecurity. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54827-7_27.

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AbstractLLMs face a critical vulnerability known as sandbox breakout, where attackers bypass the system designers’ limitations to prevent malicious access to the resources for which the LLM agent is a user interface. Thus, they can access the system and potentially steal data, change the interaction with other users, or inject malicious code or contents into underlying databases. Therefore, it is essential to identify and address vulnerabilities that could be exploited to break out of the sandbox. These vulnerabilities could exist in the sandbox, the operating system, or the LLM’s software dep

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Chen, Chaoying, and Yinjun Shen. "The Effect of Heavy Loads and Cable Breakage on the Line Shape of Main Girders of One-Tower Cable-Stayed Bridges." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-5814-2_34.

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AbstractTo study the adverse vibrations of overloading and cable breakage, a single tower cable-stayed bridge model was established using finite element software ANSYS. The fracture effects of cables at different positions were simulated, and the overall linear changes of the bridge before and after fracture were analyzed. Equivalent vehicle loads were applied to obtain the influence of the most unfavorable fracture on the main beam line shape when the load was distributed at the most unfavorable position. The analysis results show that the impact of cable breakage varies at different position

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Reisinger, Gerhard, Philipp Hold, and Wilfried Sihn. "Automated Information Supply of Worker Guidance Systems in Smart Assembly Environment." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_17.

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AbstractThe global megatrends of digitization and individualization substantially affect manufacturing enterprises. Assembly workers are exposed to increased process complexity resulting in physical and cognitive workload. Worker guidance systems (WGS) are used to overcome this challenge through output of information regarding what should be done, how it should be done and why it should be done. An unsolved scientific challenge in this context is efficient information supply of WGS. Information such as worker’s instruction texts, pictures or 3D representations are created by employees of the w

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Tang, Ning, Lei Wang, Tian Xia, and Weidong Wu. "Design and Implementation of Full Adder Circuit Based on Memristor." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_17.

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AbstractIn order to break through the traditional von Neumann architecture of computing and memory cell separation and speed up the computing speed, it is necessary to realize in memory computing, and memristor is an excellent carrier to realize in memory computing. Then, the development, principle, characteristics and application prospect of memristor are briefly introduced, and the characteristic curve of memristor is obtained by simulating the model of memristor. The principle and characteristics of memristor are explained more intuitively. Then, based on the memory resistor, the simple log

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Greene Darcy Drew and Heeter Carrie. "PERSONAL STORIES WITHIN VIRTUAL ENVIRONMENTS: EMBODIMENTS OF A MODEL FOR CANCER PATIENT INFORMATION SOFTWARE." In Studies in Health Technology and Informatics. IOS Press, 1998. https://doi.org/10.3233/978-1-60750-894-6-193.

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Two new cancer patient information CD-ROMs extend the personal stories within virtual environments model of cancer patient information developed for Breast Cancer Lighthouse. Cancer Pain Retreat and Cancer Prevention Park: Games for Life are intended to inform and inspire users in an emotionally calming and intimately informative manner. The software offers users an experience&mdash;of visiting a virtual place and meeting and talking with patients and health care professionals.

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Chakour, Imane, Yousef El Mourabit, and Mohamed Baslam. "Multi-Agent System Based on Data Mining Algorithms to Detect Breast Cancer." In Research Anthology on Medical Informatics in Breast and Cervical Cancer. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7136-4.ch025.

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Recently, data mining and intelligent agents have emerged as two domains with tremendous potential for research. The capacity of agents to learn from their experience complements the data mining process. This chapter aims to study a multi-agent system that evaluates the performance of three well-known data mining algorithms—artificial neural network (ANN), support vector machines (SVM), and logistic regression or logit model (LR)—based on breast cancer data (WBCD). Then the system aggregates the classifications of these algorithms with a controller agent to increase the accuracy of the classif

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Chakour, Imane, Yousef El Mourabit, and Mohamed Baslam. "Multi-Agent System Based on Data Mining Algorithms to Detect Breast Cancer." In Advances in Library and Information Science. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1021-6.ch011.

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Recently, data mining and intelligent agents have emerged as two domains with tremendous potential for research. The capacity of agents to learn from their experience complements the data mining process. This chapter aims to study a multi-agent system that evaluates the performance of three well-known data mining algorithms—artificial neural network (ANN), support vector machines (SVM), and logistic regression or logit model (LR)—based on breast cancer data (WBCD). Then the system aggregates the classifications of these algorithms with a controller agent to increase the accuracy of the classif

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Vijaya Lakshmi, Adluri, Sowmya Gudipati Sri, Ponnuru Sowjanya, and K. Vedavathi. "Prediction using Machine Learning." In Handbook of Artificial Intelligence. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815124514123010005.

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This chapter begins with a concise introduction to machine learning and the classification of machine learning systems (supervised learning, unsupervised learning, and reinforcement learning). ‘Breast Cancer Prediction Using ML Techniques’ is the topic of Chapter 2. This chapter describes various breast cancer prediction algorithms, including convolutional neural networks (CNN), support vector machines, Nave Bayesian classification, and weighted Nave Bayesian classification. Prediction of Heart Disease Using Machine Learning Techniques is the topic of Chapter 3. This chapter describes the nume

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Conference papers on the topic "Breast software model"

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Chanmugam, Arjun, Rajeev Hatwar, and Cila Herman. "Thermal Analysis of Cancerous Breast Model." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88244.

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Breast cancer is one of the most common and dangerous cancers. Subsurface breast cancer lesions generate more heat and have increased blood supply when compared to healthy tissue, and this temperature rise is mirrored in the skin surface temperature. The rise in temperature on the skin surface, caused by the cancerous lesion, can be measured noninvasively using infrared thermography, which can be used as a diagnostic tool to detect the presence of a lesion. However, its diagnostic ability is limited when image interpretation relies on qualitative principles. In this study, we present a quantit

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Franca, Flavia Cardoso, Idam de Oliveira-Junior, Andrea Moreno Morgan, Raphael Luiz Haikel, and René Aloisio da Costa Vieira. "BREAST CONSERVING SURGERY WITH GEOMETRIC COMPENSATION TECHNIQUE: NEW INDICATIONS, ONCOLOGICAL SAFETY, AND COSMESIS." In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2017.

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Objective: Geometric compensation technique (GCT) enables breast conserving surgery (BCS) in selected patients with large tumor for their breast sizes and/or in unfavorable sites, initially candidates to mastectomy. The aim was to evaluate indications, oncological safety, and cosmesis and to increase the number of patients undergoing GCT. Methods: Approved by Ethics Committee 1594/2018. A longitudinal cohort study was performed in patients with breast cancer who underwent GCT consecutively. We evaluated retrospectively: indications, clinical characteristics, cosmesis, surgical features, and re

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Raru, Aliona, Elena Floreaburduja, Daniela Farima, Marcela Irovan, and Iuliana gabriela Lupu. "SOFTWARE APPLICATION FOR THE POST-OPERATIVE FUNCTIONAL-ADAPTIVE BRA DESIGN." In eLSE 2021. ADL Romania, 2021. http://dx.doi.org/10.12753/2066-026x-21-165.

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The functionality of the clothing product is determined by its structure, namely by the textile structure, the design solution, the processing technology. The post-operative functional-adaptive bra, intended for women wearing external breast prostheses, has the role of providing the necessary breast support and fixing the external breast prosthesis in the necessary position. Bras for women wearing external breast prostheses are provided with bra pockets to fix the prosthesis. Functional and ergonomic design of clothing products for people with special needs involves the customization (individu

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Vasilev, Nikola Veselinov, Zheni Ivanova Mincheva, Ventsislav Georgiev Nikolov, and Kristina Stanimirova Bliznakova. "A Software Module for Generating a Synthetic Model of the Breast from an X-Ray Image." In 2019 IEEE XXVIII International Scientific Conference Electronics (ET). IEEE, 2019. http://dx.doi.org/10.1109/et.2019.8878495.

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Yue, Mei. "Research on anti-breast cancer candidate drugs analysis based on random forest model and genetic algorithm." In 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), edited by Paulo Batista and Yudong Zhang. SPIE, 2023. http://dx.doi.org/10.1117/12.2692888.

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Mouelhi, Aymen, Mounir Sayadi, and Farhat Fnaiech. "A supervised segmentation scheme based on multilayer neural network and color active contour model for breast cancer nuclei detection." In 2013 International Conference On Electrical Engineering and Software Applications (ICEESA). IEEE, 2013. http://dx.doi.org/10.1109/iceesa.2013.6578451.

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Sarno, A., R. M. Tucciariello, M. E. Fantacci, et al. "A Model for a Linear a-Se Detector in Simulated X-Ray Breast Imaging with Monte Carlo Software." In 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2021. http://dx.doi.org/10.1109/nss/mic44867.2021.9875749.

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Satish, Vellavalapalli, Jatin Kumar, and Ramjee Repaka. "Analysis of Ablation Volume Produced During Microwave Ablation of Breast Cancerous Lesion Using Fourier and Non-Fourier Models." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10800.

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Abstract The present article aims to compare the change in the temperature and ablation volume during Microwave ablation procedure. The microwave ablation process is carried out using Fourier and non-Fourier bioheat transfer models in the computational domain of breast tumor. The above models have been considered with the relaxation time known as thermal delay during ablation procedure at constant power and frequency. The above objective has been carried out on a heterogeneous three compartment Breast model using COMSOL-Multiphysics software, with inbuilt bioheat transfer and electromagnetic w

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Thiesen, Ana Paula, Bruna Mielczarski, and Ricardo Francalacci Savaris. "DEEP LEARNING NEURAL NETWORK IMAGE ANALYSIS OF IMMUNOHISTOCHEMICAL PROTEIN EXPRESSION REVEALS A SIGNIFICANTLY REDUCED EXPRESSION OF BIGLYCAN IN BREAST CANCER." In Brazilian Breast Cancer Symposium 2022. Mastology, 2022. http://dx.doi.org/10.29289/259453942022v32s2014.

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Objective: The aim of this study was to compare the protein expression of biglycan (BGN) in normal breast tissue and in breast cancer using deep learning and digital HScore techniques. Methods: In this case-control study, 24 formalin-fixed, paraffin-embedded tissues were obtained from pathological archives for analysis. Normal breast (n=9) and breast cancer (n=15) tissue sections were analyzed by immunohistochemistry using BGN monoclonal antibody (M01 – Abnova), clone 4E1-1G7 at dilution 1:300 at pH 6, and 3,3’-diaminobenzidine (DAB) as the chromogen. Photomicrographs of the slides were analyz

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Miranda, Maria Clara Ramos, Charles Karel Martins Santos, Gabriel Alves Barbosa, et al. "Patient-reported aesthetic outcomes in oncoplastic breast surgery compared with conventional breast-conserving surgery: a systematic review and meta-analysis." In Brazilian Breast Cancer Symposium 2024. Mastology, 2024. http://dx.doi.org/10.29289/259453942024v34s1012.

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Objective: We aimed to compare the aesthetic and surgical satisfaction of oncoplastic breast surgery (OBS) to conventional breast-conserving surgery (CBCS). Methodology: This meta-analysis (PROSPERO: CRD42024521223) followed PRISMA and PICO guidelines. PubMed, Embase, Scopus, Web of Science, and Cochrane databases were searched for randomized trials and non-randomized studies comparing OBS to CBCS for female breast cancer patients and reporting outcomes of patient-reported aesthetic results, overall satisfaction, complications, and re-excision. A random-effects model was performed in the R sof

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Reports on the topic "Breast software model"

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Lindquist, Joachim, and Henning de Haas. Creating Supply Chain Resilience Through Scenario Planning: How a Digital Twin Can Be Used To Enhance Supply Chain Resilience Through Scenario Planning. Aarhus University Library, 2021. http://dx.doi.org/10.7146/aul.435.

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This book focusses on the concept of supply chain disruptions and how supply chain resilience can contribute to both preparing for and reacting to the event causing disruption. For building a digital twin of a supply chain, a software named Supply Chain Guru has been used. The software is a supply chain design tool which can be used for different kinds of supply chain network optimisation. The book outlines four scenarios: Covid-19 lockdown, Brexit without deal, Conflagration at a dairy and Political regulations on transport. The scenarios all contain a problem that needs to be solved. This pr

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Sridhar and Dunn. L51793 The Effects of Water Chemistry on Internal Corrosion of Steel Pipelines. Pipeline Research Council International, Inc. (PRCI), 2000. http://dx.doi.org/10.55274/r0010425.

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The ability to safely transport wet, untreated natural gases through pipelines offshore or at other inaccessible locations is an important factor in the development of new gas fields. The internal corrosion rate of steel pipelines varies in a complex way with the gas composition, specifically CO2 , O2 , and H2 S, and condensed water chemistry. Estimating the corrosion rate of steel at inaccessible locations from the analysis of the gas and water composition from an accessible location will enable a better determination of the need for corrosion inhibitors. Quantitative understanding of the cor

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Madhur, Srinivasa. Cambodia’s Skill Gap: An Anatomy of Issues and Policy Options. Cambodia Development Resource Institute, 2014. https://doi.org/10.64202/wp.98.201408.

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There is growing consensus that an emerging skill gap could impose human costs and constraints on Cambodia’s economic growth and development. The country is facing a shortage of skilled human resources even for low-to-medium skill intensive industries. There is a widening gap between the skills that industries and businesses need and what the education institutions, whether academic or vocational training, are producing. Cambodia’s skill gap is emerging at a time when the Association of Southeast Asian Nations (ASEAN) is preparing to launch the ASEAN Economic Community (AEC) in 2015. The AEC w

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