Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey

2 May 2024

Papers citing "Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey"

10 / 10 papers shown

Title
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets B. Sun P. Liò 52 0 0 25 Feb 2025
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability Shangqi Gao Hang Zhou Yibo Gao Xiahai Zhuang OOD 30 3 0 03 Mar 2023
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 18 38 0 24 Oct 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 112 0 06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 31 97 0 06 Dec 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 33 34 0 02 Feb 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 129 654 0 28 Dec 2020
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 246 1,817 0 18 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015