Journal articles on the topic 'Radiotherapy – Data processing'
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Zavyalov, Aleksandr A., and Dmitry A. Andreev. "Management of the radiotherapy quality control using automated Big Data processing." Health Care of the Russian Federation 64, no. 6 (2020): 368–72. http://dx.doi.org/10.46563/0044-197x-2020-64-6-368-372.
Full textKessler, M., M. Roberson, W. Keranen, and D. McShan. "TU-FF-A3-01: Automating Data Processing for Image-Guided Adaptive Radiotherapy." Medical Physics 32, no. 6Part17 (2005): 2110. http://dx.doi.org/10.1118/1.1998454.
Full textRomanchikova, M., K. Harrison, S. J. Thomas, et al. "Design of electronic data processing system for radiotherapy study: lessons learned from VoxTox." Radiotherapy and Oncology 118 (February 2016): S91. http://dx.doi.org/10.1016/s0167-8140(16)30186-4.
Full textPhilipps, L., S. Reis, S. Hindocha, M. Evison, F. McDonald, and R. Lee. "Automated data extraction and natural language processing of radiotherapy outcomes data and LNC-PATH risk score features." Lung Cancer 139 (January 2020): S1. http://dx.doi.org/10.1016/s0169-5002(20)30030-1.
Full textLamamra, Kheireddine, Abdelkrim Allam, N. A. M', and hammed Afiane. "Artificial neural networks for acquisition and processing of sensors data in a radiotherapy application." International Journal of Simulation and Process Modelling 13, no. 1 (2018): 15. http://dx.doi.org/10.1504/ijspm.2018.090257.
Full textAfiane, M'hammed, Abdelkrim Allam, and Kheireddine Lamamra. "Artificial neural networks for acquisition and processing of sensors data in a radiotherapy application." International Journal of Simulation and Process Modelling 13, no. 1 (2018): 15. http://dx.doi.org/10.1504/ijspm.2018.10011346.
Full textKahalley, Lisa S., Rachel Peterson, M. Douglas Ris, et al. "Superior Intellectual Outcomes After Proton Radiotherapy Compared With Photon Radiotherapy for Pediatric Medulloblastoma." Journal of Clinical Oncology 38, no. 5 (2020): 454–61. http://dx.doi.org/10.1200/jco.19.01706.
Full textLocke, C., and S. Zavgorodni. "Vega library for processing DICOM data required in Monte Carlo verification of radiotherapy treatment plans." Australasian Physics & Engineering Sciences in Medicine 31, no. 4 (2008): 290–99. http://dx.doi.org/10.1007/bf03178598.
Full textSyed, Khajamoinuddin, William Sleeman IV, Kevin Ivey, et al. "Integrated Natural Language Processing and Machine Learning Models for Standardizing Radiotherapy Structure Names." Healthcare 8, no. 2 (2020): 120. http://dx.doi.org/10.3390/healthcare8020120.
Full textPike, Lucy C., Christopher M. Thomas, Teresa Guerrero-Urbano, et al. "Guidance on the use of PET for treatment planning in radiotherapy clinical trials." British Journal of Radiology 92, no. 1103 (2019): 20190180. http://dx.doi.org/10.1259/bjr.20190180.
Full textGranja, C., J. Jakubek, P. Soukup, et al. "MiniPIX Timepix3 — a miniaturized radiation camera with onboard data processing for online characterization of wide-intensity mixed-radiation fields." Journal of Instrumentation 17, no. 03 (2022): C03019. http://dx.doi.org/10.1088/1748-0221/17/03/c03019.
Full textBasu, Tanmay, Simon Goldsworthy, and Georgios V. Gkoutos. "A Sentence Classification Framework to Identify Geometric Errors in Radiation Therapy from Relevant Literature." Information 12, no. 4 (2021): 139. http://dx.doi.org/10.3390/info12040139.
Full textTakahashi, Wataru, Shota Oshikawa, and Shinichiro Mori. "Real-time markerless tumour tracking with patient-specific deep learning using a personalised data generation strategy: proof of concept by phantom study." British Journal of Radiology 93, no. 1109 (2020): 20190420. http://dx.doi.org/10.1259/bjr.20190420.
Full textHaidar, Ali, Farhannah Aly, and Lois Holloway. "PDCP: A Set of Tools for Extracting, Transforming, and Loading Radiotherapy Data from the Orthanc Research PACS." Software 1, no. 2 (2022): 215–22. http://dx.doi.org/10.3390/software1020009.
Full textPatel, I., and M. C. Kirby. "Design and implementation of an electronic data recording and processing system for physics quality control checks in external beam radiotherapy." British Journal of Radiology 80, no. 950 (2007): 126–31. http://dx.doi.org/10.1259/bjr/32367104.
Full textRemes, Tiina M., Emma Hovén, Niina Ritari, et al. "Neurocognitive impairment, employment, and social status in radiotherapy-treated adult survivors of childhood brain tumors." Neuro-Oncology Practice 8, no. 3 (2021): 266–77. http://dx.doi.org/10.1093/nop/npab004.
Full textThakur, Varsha, Juliano Tiburcio de Freitas, Yuan Li, Keman Zhang, Alyssa Savadelis, and Barbara Bedogni. "MT1-MMP-dependent ECM processing regulates laminB1 stability and mediates replication fork restart." PLOS ONE 16, no. 7 (2021): e0253062. http://dx.doi.org/10.1371/journal.pone.0253062.
Full textChebrolu, Venkata V., Daniel Saenz, Dinesh Tewatia, William A. Sethares, George Cannon, and Bhudatt R. Paliwal. "Rapid Automated Target Segmentation and Tracking on 4D Data without Initial Contours." Radiology Research and Practice 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/547075.
Full textDundr, Pavel, David Cibula, Kristýna Němejcová, Ivana Tichá, Michaela Bártů, and Radek Jakša. "Pathologic Protocols for Sentinel Lymph Nodes Ultrastaging in Cervical Cancer." Archives of Pathology & Laboratory Medicine 144, no. 8 (2019): 1011–20. http://dx.doi.org/10.5858/arpa.2019-0249-ra.
Full textChuwdhury, Gulam Sarwar, Md Khaliluzzaman, and Md Rashed-Al Mahfuz. "Analyzing Wavelet and Bidimensional Empirical Mode Decomposition of MRI Segmentation using Fuzzy C-Means Clustering." Rajshahi University Journal of Science and Engineering 44 (November 19, 2016): 101–12. http://dx.doi.org/10.3329/rujse.v44i0.30395.
Full textGonella, Gloria, Elisabetta Binaghi, Paola Nocera, and Cinzia Mordacchini. "Investigating the Behaviour of Machine Learning Techniques to Segment Brain Metastases in Radiation Therapy Planning." Applied Sciences 9, no. 16 (2019): 3335. http://dx.doi.org/10.3390/app9163335.
Full textvan Iersel, Laura, Zhenghong Li, Deo Kumar Srivastava, et al. "Hypothalamic-Pituitary Disorders in Childhood Cancer Survivors: Prevalence, Risk Factors and Long-Term Health Outcomes." Journal of Clinical Endocrinology & Metabolism 104, no. 12 (2019): 6101–15. http://dx.doi.org/10.1210/jc.2019-00834.
Full textSantoro, Miriam, Silvia Strolin, Giulia Paolani, et al. "Recent Applications of Artificial Intelligence in Radiotherapy: Where We Are and Beyond." Applied Sciences 12, no. 7 (2022): 3223. http://dx.doi.org/10.3390/app12073223.
Full textSUN, SHUH-PING, and CHING-JUNG WU. "THE APPLICATION OF FULL SCALE 3D ANTHROPOMETRIC DIGITAL MODEL SYSTEM IN RADIOTHERAPY POSITIONING AND VERIFICATION." Biomedical Engineering: Applications, Basis and Communications 16, no. 04 (2004): 173–79. http://dx.doi.org/10.4015/s1016237204000232.
Full textAtoui, Hussein, Serge Miguet, and David Sarrut. "A FAST MORPHING-BASED INTERPOLATION FOR MEDICAL IMAGES: APPLICATION TO CONFORMAL RADIOTHERAPY." Image Analysis & Stereology 25, no. 2 (2011): 95. http://dx.doi.org/10.5566/ias.v25.p95-103.
Full textCovele, Brent M., Kartikeya S. Puri, Karoline Kallis, James D. Murphy, and Kevin L. Moore. "ORBIT-RT: A Real-Time, Open Platform for Knowledge-Based Quality Control of Radiotherapy Treatment Planning." JCO Clinical Cancer Informatics, no. 5 (January 2021): 134–42. http://dx.doi.org/10.1200/cci.20.00093.
Full textZhang, Li. "Evaluation of Incision Margin and Radiotherapy Adjustment in Breast Cancer-Conserving Surgery Based on VR Pathology 3D Reconstruction." Journal of Healthcare Engineering 2021 (August 16, 2021): 1–11. http://dx.doi.org/10.1155/2021/2709461.
Full textHoffmann-Lamplmair, Doris, Ulrike Leiss, Andreas Peyrl, et al. "QOL-24. Evaluating the diagnostic validity & predictive value of the Cerebellar Cognitive Affective Syndrome (CCAS) in pediatric posterior fossa tumour patients." Neuro-Oncology 24, Supplement_1 (2022): i138—i139. http://dx.doi.org/10.1093/neuonc/noac079.507.
Full textLo Faso, Enrico Antonio, Orazio Gambino, and Roberto Pirrone. "Head–Neck Cancer Delineation." Applied Sciences 11, no. 6 (2021): 2721. http://dx.doi.org/10.3390/app11062721.
Full textAuns Q. H. Al-Neami and Cinan Kanaan A.R. Al Khuzaay. "Medical Images Separation and Fusion Based on Artificial Neural Network." Diyala Journal of Engineering Sciences 7, no. 3 (2014): 92–105. http://dx.doi.org/10.24237/djes.2014.07306.
Full textYılmaz, Nida Gizem, Julia C. M. Van Weert, Ellen Peters, et al. "Testing the Effects of Modality and Narration Style on Patients’ Information Use in a Lung Cancer Treatment Decision Aid." Medical Decision Making 40, no. 8 (2020): 990–1002. http://dx.doi.org/10.1177/0272989x20960436.
Full textSeptiani, Ike Wahyu, Abd Charis Fauzan, and Muhamat Maariful Huda. "Implementasi Algoritma K-Medoids Dengan Evaluasi Davies-Bouldin-Index Untuk Klasterisasi Harapan Hidup Pasca Operasi Pada Pasien Penderita Kanker Paru-Paru." Jurnal Sistem Komputer dan Informatika (JSON) 3, no. 4 (2022): 556. http://dx.doi.org/10.30865/json.v3i4.4055.
Full textTraunwieser, Thomas, Elena Loos, Karolina Nemes, et al. "ATRT-02. Neuropsychological function in infant atypical teratoid/rhabdoid tumor versus low-grade glioma survivors reflects tumor malignancy and multimodal treatment." Neuro-Oncology 24, Supplement_1 (2022): i1—i2. http://dx.doi.org/10.1093/neuonc/noac079.001.
Full textXin, Ying. "Clinical study of gefitinib maintenance therapy after concurrent radiotherapy and chemotherapy for locally advanced NSCLC with EGFR sensitive mutations." Journal of Global Oncology 5, suppl (2019): 87. http://dx.doi.org/10.1200/jgo.2019.5.suppl.87.
Full textNadiminti, Dr Venkata Ramana Murty, and Prof M. S. Prasad Babu. "A Novel Integrated Prognosis & Diagnosis System for Lung Cancer Disease Detection using Soft Computing Techniques." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 20 (December 2, 2020): 137–44. http://dx.doi.org/10.24297/ijct.v20i.8844.
Full textWodzinski, Marek, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kedzierawski, and Andrzej Skalski. "Semi-Supervised Deep Learning-Based Image Registration Method with Volume Penalty for Real-Time Breast Tumor Bed Localization." Sensors 21, no. 12 (2021): 4085. http://dx.doi.org/10.3390/s21124085.
Full textHeintz, A., J. Chombar, S. Boussida, et al. "P14.92 Study of Glutaminergic and Glutamatergic Metabolism in 1H-MRS Monovoxel in the Most Aggressive Part of 62 Glioblastoma Before and After 18 months Treatment." Neuro-Oncology 21, Supplement_3 (2019): iii89. http://dx.doi.org/10.1093/neuonc/noz126.327.
Full textSyed, Khajamoinuddin, William Sleeman, Michael Hagan, Jatinder Palta, Rishabh Kapoor, and Preetam Ghosh. "Automatic Incident Triage in Radiation Oncology Incident Learning System." Healthcare 8, no. 3 (2020): 272. http://dx.doi.org/10.3390/healthcare8030272.
Full textOtt, Martina, Yuuri Hashimoto, Anantha Marisetty, et al. "MLTI-01. IMMUNOLOGICAL REPROGRAMMING IN THE CNS TUMOR MICROENVIRONMENT AND THERAPEUTIC EFFICACY OF RADIOTHERAPY WITH STAT3 BLOCKADE." Neuro-Oncology Advances 1, Supplement_1 (2019): i14. http://dx.doi.org/10.1093/noajnl/vdz014.060.
Full textParisi, Alessio, Chris J. Beltran, and Keith M. Furutani. "The Mayo Clinic Florida microdosimetric kinetic model of clonogenic survival: formalism and first benchmark against in vitro and in silico data." Physics in Medicine & Biology 67, no. 18 (2022): 185013. http://dx.doi.org/10.1088/1361-6560/ac7375.
Full textAltini, Mattia, Laura Solinas, Lauro Bucchi, et al. "Assessment of Cancer Care Costs in Disease-Specific Cancer Care Pathways." International Journal of Environmental Research and Public Health 17, no. 13 (2020): 4765. http://dx.doi.org/10.3390/ijerph17134765.
Full textKang, Kyung-Ah, Suk Jung Han, Jiyoung Chun, and Hyun-Yong Kim. "Research trends related to childhood and adolescent cancer survivors in South Korea using word co-occurrence network analysis." Child Health Nursing Research 27, no. 3 (2021): 201–10. http://dx.doi.org/10.4094/chnr.2021.27.3.201.
Full textMazio, Federica, Giuseppina Aloj, Grazia Maria Giovanna Pastorino, et al. "Default-Mode Network Connectivity Changes Correlate with Attention Deficits in ALL Long-Term Survivors Treated with Radio- and/or Chemotherapy." Biology 11, no. 4 (2022): 499. http://dx.doi.org/10.3390/biology11040499.
Full textJoly, Florence, Marie Lange, Natacha Heutte, et al. "Baseline cognitive functions among elderly patients with localized breast cancer." Journal of Clinical Oncology 31, no. 15_suppl (2013): 9510. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.9510.
Full textNestle, U., S. Kremp, D. Hellwig, et al. "Multi-centre calibration of an adaptive thresholding method for PET-based delineation of tumour volumes in radiotherapy planning of lung cancer." Nuklearmedizin 51, no. 03 (2012): 101–10. http://dx.doi.org/10.3413/nukmed-0452-11-12.
Full textDe Roeck, L., P. Spiessens, H. Vermeulen, et al. "P01.09.A Prevalence and predictors of cognitive impairment in adult glioma survivors after multimodal therapy." Neuro-Oncology 24, Supplement_2 (2022): ii25. http://dx.doi.org/10.1093/neuonc/noac174.081.
Full textZola, Paolo, Maria Elena Jacomuzzi, Simona Mazzola, et al. "Analysis of the Evolution in the Management of Endometrial Cancer in Italy: A CTF Study." Tumori Journal 88, no. 6 (2002): 481–88. http://dx.doi.org/10.1177/030089160208800610.
Full textThenault, Ronan, Kevin Kaulanjan, Thomas Darde, et al. "The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review." Applied Sciences 10, no. 18 (2020): 6428. http://dx.doi.org/10.3390/app10186428.
Full textPadilla, Oscar, Hanna Minns, Hong-Jian Wei, et al. "91 Impact of ultra-fast ‘FLASH’ radiotherapy on single cell immunogenomics in diffuse intrinsic pontine glioma (DIPG)." Journal for ImmunoTherapy of Cancer 9, Suppl 2 (2021): A100. http://dx.doi.org/10.1136/jitc-2021-sitc2021.091.
Full textHeintz, A., S. Boussida, Z. Saida, et al. "P14.91 Study glycolytic metabolism in 1H-MRS monovoxel in the most aggressive part of 62 glioblastomas before and after 18 months of treatment." Neuro-Oncology 21, Supplement_3 (2019): iii89. http://dx.doi.org/10.1093/neuonc/noz126.326.
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