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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.
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.
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.
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.
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