Rethinking Machine Learning Model Evaluation in Pathology

11 April 2022

Papers citing "Rethinking Machine Learning Model Evaluation in Pathology"

5 / 5 papers shown

Title
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology Dinkar Juyal S. Shingi Syed Ashar Javed Harshith Padigela Chintan Shah Anand Sampat Archit Khosla J. Abel A. Taylor-Weiner 22 6 0 23 Mar 2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification Honglin Li Chenglu Zhu Yunlong Zhang Yuxuan Sun Zhongyi Shui Wenwei Kuang S. Zheng L. Yang 61 57 0 15 Mar 2023
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review Heather D. Couture 35 20 0 27 Nov 2022
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts Jin Li Deepta Rajan Chintan Shah Dinkar Juyal S. Chakraborty Chandan Akiti Filip Kos Janani Iyer Anand Sampat A. Behrooz OOD 14 3 0 14 Nov 2022
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology Syed Ashar Javed Dinkar Juyal Harshith Padigela A. Taylor-Weiner Limin Yu Aaditya (Adi) Prakash 11 62 0 03 Jun 2022