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Pigment Cell & Melanoma Research|January 17, 2022
Artificial intelligence and melanoma: A comprehensive review of clinical, dermoscopic, and histologic applicationsKatherine M Stiff, Matthew J Franklin, Yufei Zhou, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarraysGeorge Lee, Sahirzeeshan Ali, Robert Veltri, et al.
Medical Physics|March 14, 2025
Stable and discriminating OCT-derived radiomics features for predicting anti-VEGF treatment response in diabetic macular edemaSudeshna Sil Kar, Hasan Cetin, Sunil K Srivastava, et al.
NPJ Precision Oncology|March 30, 2024
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatmentSirvan Khalighi, Kartik Reddy, Abhishek Midya, et al.
European Journal of Cancer (Oxford, England : 1990)|September 22, 2024
A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomasShayan Monabbati, Sirvan Khalighi, Pingfu Fu, et al.
The Journal of Pathology|January 10, 2022
Computer-extracted features of nuclear morphology in hematoxylin and eosin images distinguish stage II and IV colon tumorsNeeraj Kumar, Ruchika Verma, Chuheng Chen, et al.
Translational Oncology|April 17, 2016
Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept StudyJacob Antunes, Satish Viswanath, Mirabela Rusu, et al.
Radiation Oncology (London, England)|November 11, 2016
Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRIRakesh Shiradkar, Tarun K Podder, Ahmad Algohary, et al.
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