Explainable Deep Learning Methods in Medical Image Classification: A
Survey

Explainable Deep Learning Methods in Medical Image Classification: A Survey

10 May 2022

Cristiano Patrício

João C. Neves

Luís F. Teixeira

Papers citing "Explainable Deep Learning Methods in Medical Image Classification: A Survey"

15 / 15 papers shown

Title
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 27 2 0 07 Nov 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 46 0 0 16 Sep 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation Yingying Fang Shuang Wu Zihao Jin Caiwen Xu Shiyi Wang Simon Walsh Guang Yang MedIm 29 4 0 21 Jun 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 24 6 0 26 Jan 2024
Medical Image Captioning via Generative Pretrained Transformers Alexander Selivanov Oleg Y. Rogov Daniil Chesakov Artem Shelmanov Irina Fedulova Dmitry V. Dylov MedIm 49 54 0 28 Sep 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 106 653 0 24 Jan 2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed 31 61 0 04 Jan 2022
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 62 21 0 12 Jul 2021
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 104 178 0 20 Apr 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 473 0 02 Feb 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 29 60 0 19 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 63 83 0 11 Jan 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 127 48 0 20 Oct 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,599 0 19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015