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JCO Clinical Cancer Informatics|September 22, 2023
Machine Learning Approach for Rapid, Accurate Point-of-Care Prediction of M-Spike Values in Multiple MyelomaEhsan Malek, Gi-Ming Wang, Curtis Tatsuoka, et al.Medical Image Analysis|December 14, 2022
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancerYufei Zhou, Can Koyuncu, Cheng Lu, et al.Scientific Reports|August 20, 2017
Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representationLin Li, Shivani Pahwa, Gregory Penzias, et al.The Journal of Pathology. Clinical Research|October 12, 2023
Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning featuresChuheng Chen, Cheng Lu, Vidya Viswanathan, et al.Scientific Reports|October 10, 2018
Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site studyPatrick Leo, Robin Elliott, Natalie N C Shih, et al.IEEE Transactions on Bio-Medical Engineering|February 9, 2013
Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slidesAjay Basavanhally, Shridar Ganesan, Michael Feldman, et al.Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detectionAngel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, et al.European Urology Focus|July 30, 2017
Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary FindingsGeorge Lee, Robert W Veltri, Guangjing Zhu, et al.Nature Reviews. Nephrology|August 28, 2020
Digital pathology and computational image analysis in nephropathologyLaura Barisoni, Kyle J Lafata, Stephen M Hewitt, et al.Lung Cancer (Amsterdam, Netherlands)|January 2, 2018
Radiomics and radiogenomics in lung cancer: A review for the clinicianRajat Thawani, Michael McLane, Niha Beig, et al.Pageof 41