Academic literature on the topic 'Lung nodule segmentation'
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Journal articles on the topic "Lung nodule segmentation"
Joshua, Eali Stephen Neal. "LUNG NODULE SEMANTIC SEGMENTATION WITH BI-DIRECTION FEATURES USING U-INET." Journal of Medical pharmaceutical and allied sciences 10, no. 5 (2021): 3494–99. http://dx.doi.org/10.22270/jmpas.v10i5.1454.
Full textLi, Rui, Chuda Xiao, Yongzhi Huang, Haseeb Hassan, and Bingding Huang. "Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review." Diagnostics 12, no. 2 (2022): 298. http://dx.doi.org/10.3390/diagnostics12020298.
Full textTang, Tiequn, Feng Li, Minshan Jiang, Xunpeng Xia, Rongfu Zhang, and Kailin Lin. "Improved Complementary Pulmonary Nodule Segmentation Model Based on Multi-Feature Fusion." Entropy 24, no. 12 (2022): 1755. http://dx.doi.org/10.3390/e24121755.
Full textUsman, Muhammad, and Yeong-Gil Shin. "DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation." Sensors 23, no. 4 (2023): 1989. http://dx.doi.org/10.3390/s23041989.
Full textMaqsood, Muazzam, Sadaf Yasmin, Irfan Mehmood, Maryam Bukhari, and Mucheol Kim. "An Efficient DA-Net Architecture for Lung Nodule Segmentation." Mathematics 9, no. 13 (2021): 1457. http://dx.doi.org/10.3390/math9131457.
Full textAnnavarapu, Chandra Sekhara Rao, Samson Anosh Babu Parisapogu, Nikhil Varma Keetha, Praveen Kumar Donta, and Gurindapalli Rajita. "A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation." Diagnostics 13, no. 8 (2023): 1406. http://dx.doi.org/10.3390/diagnostics13081406.
Full textSnezhko, E. V., S. A. Kharuzhyk, A. V. Tuzikov, and V. A. Kovalev. "SMALL NODULES LOCALIZATION ON CT IMAGES OF LUNGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W4 (May 10, 2017): 141–44. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w4-141-2017.
Full textLokhande, Narendra Lalchand, and Tushar Hrishikesh Jaware. "A Systematic Review of AI Based Software Test Case Optimization." International Research Journal of Multidisciplinary Scope 05, no. 04 (2024): 860–71. http://dx.doi.org/10.47857/irjms.2024.v05i04.01452.
Full textIqbal, Saleem, Khalid Iqbal, Fahim Arif, Arslan Shaukat, and Aasia Khanum. "Potential Lung Nodules Identification for Characterization by Variable Multistep Threshold and Shape Indices from CT Images." Computational and Mathematical Methods in Medicine 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/241647.
Full textQu, Ming Zhi, and Gui Rong Weng. "Lung Nodule Segmentation Using Mathematical Morphology." Applied Mechanics and Materials 58-60 (June 2011): 1378–83. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1378.
Full textDissertations / Theses on the topic "Lung nodule segmentation"
CAMPOS, VANESSA DE OLIVEIRA. "MULTICRITERION SEGMENTATION FOR LUNG NODULE DETECTION IN COMPUTED TOMOGRAPHY." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=16423@1.
Full textBerglin, Lukas. "Design, Evaluation and Implementation of a Pipeline for Semi-Automatic Lung Nodule Segmentation." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-126075.
Full textChen, Huaqing. "Analysis and processing of HRCT images of the lung for automatic segmentation and nodule detection." Thesis, University of Canterbury. Computer Science and Software Engineering, 2012. http://hdl.handle.net/10092/6742.
Full textRafael-Palou, Xavier. "Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/672964.
Full textLi, Xuechen. "Machine learning-based lung nodule detection on chest x-ray radiographs." Thesis, 2016. http://hdl.handle.net/1959.13/1313753.
Full text陳, 斌., and Bin Chen. "Automated Segmentation of Lung Nodules and Pulmonary Blood Vessels and Follow-up Analysis of Lung Nodules from 3D CT Images." Thesis, 2012. http://hdl.handle.net/2237/16427.
Full textBook chapters on the topic "Lung nodule segmentation"
Campos, D. M., A. Simões, I. Ramos, and A. Campilho. "Feature-Based Supervised Lung Nodule Segmentation." In IFMBE Proceedings. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03005-0_7.
Full textFetita, Catalin I., Françoise Prêteux, Catherine Beigelman-Aubry, and Philippe Grenier. "3D Automated Lung Nodule Segmentation in HRCT." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39899-8_77.
Full textKamble, Bhawana, Satya Prakash Sahu, and Rajesh Doriya. "A Review on Lung and Nodule Segmentation Techniques." In Advances in Data and Information Sciences. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0694-9_52.
Full textKumar, Subham, and Sundaresan Raman. "Lung Nodule Segmentation Using 3-Dimensional Convolutional Neural Networks." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0035-0_48.
Full textZinoveva, Olga, Dmitriy Zinovev, Stephen A. Siena, Daniela S. Raicu, Jacob Furst, and Samuel G. Armato. "A Texture-Based Probabilistic Approach for Lung Nodule Segmentation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21596-4_3.
Full textGautam, Nandita, Abhishek Basu, Dmitry Kaplun, and Ram Sarkar. "An Ensemble of UNet Frameworks for Lung Nodule Segmentation." In Current Problems in Applied Mathematics and Computer Science and Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34127-4_44.
Full textYang, Han, Lu Shen, Mengke Zhang, and Qiuli Wang. "Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16443-9_5.
Full textZiyad, Shabana R., V. Radha, and V. Thavavel. "Performance Evaluation of Lung Segmentation Techniques in Computer Aided Lung Nodule Detection System." In Futuristic Trends in Networks and Computing Technologies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4451-4_49.
Full textShamas, Shazia, S. N. Panda, and Ishu Sharma. "Review on Lung Nodule Segmentation-Based Lung Cancer Classification Using Machine Learning Approaches." In Artificial Intelligence on Medical Data. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0151-5_24.
Full textSuji, R. Jenkin, Sarita Singh Bhadouria, Joydip Dhar, and W. Wilfred Godfrey. "Optical Flow Based Background Subtraction Method for Lung Nodule Segmentation." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4015-8_23.
Full textConference papers on the topic "Lung nodule segmentation"
Li, Xinning, Mengyi Zhang, Wenjun Zhu, Yang Yi, and Lijing Sun. "MCUNet:Multi-Level Feature and Uncertainty-Guided Lung Nodule Segmentation." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10864668.
Full textDevi, R. Shyamala, Preetha I, and Martina Jose Mary.M. "Lung Nodule Segmentation using Alexnet and Recurrent Neural Network." In 2024 International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST). IEEE, 2024. https://doi.org/10.1109/icrisst59181.2024.10922002.
Full textZafaranchi, Arman, Francesca Lizzi, Alessandra Retico, Camilla Scapicchio, and Maria Fantacci. "Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation." In 1st International Conference on Explainable AI for Neural and Symbolic Methods. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0013014600003886.
Full textTang, Weixuan, Jun Wang, Rui Shi, and Guang Yang. "Integration of 3D Attention Mechanism and Atrous Convolution for Lung Nodule Segmentation." In 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, 2024. https://doi.org/10.1109/icicml63543.2024.10958022.
Full textSui, Mingxiu, Jiacheng Hu, Tong Zhou, Zibo Liu, Likang Wen, and Junliang Du. "Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation." In 2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2024. http://dx.doi.org/10.1109/icbase63199.2024.10762674.
Full textRikhari, Himanshu, Esha Baidya Kayal, Shuvadeep Ganguly, et al. "Lung Nodule Segmentation in CT Scans Using 3D U-Net Models with Inception and ResNet Architectures." In 2024 IEEE International Conference on Contemporary Computing and Communications (InC4). IEEE, 2024. http://dx.doi.org/10.1109/inc460750.2024.10649087.
Full textZang, Zhiyang, Zhipeng Liu, and Lun Lin. "AMMU-Net: Automatic Multi-Scale Feature Selection Network Based on Mixture of Experts for Lung Nodule Segmentation." In 2024 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2024. https://doi.org/10.1109/icvrv62410.2024.00045.
Full textZhuang, Luoting, Seyed Mohammad Hossein Tabatabaei, Ashley E. Prosper, and William Hsu. "Enhancing Lung Segmentation Algorithms to Ensure Inclusion of Juxtapleural Nodules." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10981085.
Full textNiranjan Kumar, S., P. Malin Bruntha, S. Isaac Daniel, et al. "Lung Nodule Segmentation Using UNet." In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2021. http://dx.doi.org/10.1109/icaccs51430.2021.9441977.
Full textPrashanthi, B., and S. P. Angelin Claret. "Lung nodule segmentation using resnodnet." In IV INTERNATIONAL SCIENTIFIC FORUM ON COMPUTER AND ENERGY SCIENCES (WFCES II 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0178020.
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