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Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information |
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| Authors: | Khodabakhshi Zahra Amini Mehdi Mostafaei Shayan Haddadi Avval Atlas Nazari Mostafa Oveisi Mehrdad Shiri Isaac Zaidi Habib |
| Affiliation: | 1.Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Science, Tehran, Iran ;2.Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland ;3.Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran ;4.Epidemiology and Biostatistics Unit, Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran ;5.School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran ;6.Department of Biomedical Engineering and Medical Physics, Shahid Beheshti University of Medical Sciences, Tehran, Iran ;7.Department of Computer Science, University of British Columbia, Vancouver, BC, Canada ;8. Comprehensive Cancer Centre, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, Kings College London, London, UK ;9.Geneva University Neurocenter, Geneva University, Geneva, Switzerland ;10.Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Netherlands ;11.Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark ; |
| Abstract: | Journal of Digital Imaging - The aim of this work is to investigate the applicability of radiomic features alone and in combination with clinical information for the prediction of renal cell... |
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