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cs.CV2023★ 6 cited
Improved statistical benchmarking of digital pathology models using pairwise frames evaluation
Ylaine Gerardin, John Shamshoian, Judy Shen +18
Nested pairwise frames is a method for relative benchmarking of cell or tissue digital pathology models against manual pathologist annotations on a set of sampled patches. At a hig…
cs.CV2023
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed +6
Multiple Instance learning (MIL) models have been extensively used in pathology to predict biomarkers and risk-stratify patients from gigapixel-sized images. Machine learning probl…