Survey of XAI in digital pathology

14 August 2020

Papers citing "Survey of XAI in digital pathology"

19 / 19 papers shown

Title
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions Yassine Habchi Yassine Himeur Hamza Kheddar A. Boukabou Shadi Atalla A. Chouchane A. Ouamane W. Mansoor 24 50 0 25 Aug 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 23 56 0 10 Apr 2023
Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System H. Gu Chun-Hung Yang Mohammad Haeri Junchang Wang Shirley Tang Wenzhong Yan Shujin He Christopher Kazu Williams S. Magaki Xiang Ánthony' Chen 25 27 0 14 Feb 2023
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 11 31 0 29 Nov 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 38 107 0 02 Oct 2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process Lukas Klein Mennatallah El-Assady Paul F. Jäger CML 11 1 0 11 Jul 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 24 52 0 10 May 2022
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology Maximilian Springenberg A. Frommholz M. Wenzel Eva Weicken Jackie Ma Nils Strodthoff MedIm 30 42 0 11 Apr 2022
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė Gabriel Eilertsen Sofia Jarkman Claes Lundström OOD UQCV 25 24 0 17 Dec 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 29 184 0 15 May 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 92 480 0 03 Feb 2021
Evolved Explainable Classifications for Lymph Node Metastases Iam Palatnik de Sousa M. Vellasco E. C. Silva 19 6 0 14 May 2020
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 232 201 0 06 Jul 2017
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 295 10,618 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015