DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation

31 May 2018

Papers citing "DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation"

3 / 3 papers shown

Title
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN Matan Atad V. Dmytrenko Yitong Li Xinyue Zhang Matthias Keicher Jan Kirschke Bene Wiestler Ashkan Khakzar Nassir Navab MedIm 14 22 0 15 Jul 2022
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images Boyu Zhang Aleksandar Vakanski Min Xian 22 11 0 05 Oct 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 31 133 0 23 Mar 2021