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eXplainable Artificial Intelligence on Medical Images: A Survey

eXplainable Artificial Intelligence on Medical Images: A Survey

12 May 2023
Matteus Vargas Simao da Silva
Rodrigo Reis Arrais
Jhessica Victoria Santos da Silva
Felipe Souza Tanios
Mateus A. Chinelatto
Natalia Backhaus Pereira
Renata De Paris
Lucas Cesar Ferreira Domingos
Rodrigo Dória Villaça
Vitor Lopes Fabris
Nayara Rossi Brito da Silva
Ana Claudia Akemi Matsuki de Faria
Jose Victor Nogueira Alves da Silva
Fabiana Cristina Queiroz de Oliveira Marucci
Francisco Alves de Souza Neto
Danilo Xavier Silva
Vitor Yukio Kondo
C. F. G. Santos
    MedIm
    XAI
ArXivPDFHTML

Papers citing "eXplainable Artificial Intelligence on Medical Images: A Survey"

7 / 7 papers shown
Title
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis
  of Skin Lesions
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
36
61
0
04 Jan 2022
ReconfigISP: Reconfigurable Camera Image Processing Pipeline
ReconfigISP: Reconfigurable Camera Image Processing Pipeline
K. Yu
Zexian Li
Yue Peng
Chen Change Loy
Jinwei Gu
47
29
0
10 Sep 2021
On Interpretability of Deep Learning based Skin Lesion Classifiers using
  Concept Activation Vectors
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
Adriano Lucieri
Muhammad Naseer Bajwa
S. Braun
M. I. Malik
Andreas Dengel
Sheraz Ahmed
MedIm
161
64
0
05 May 2020
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
K. Zhang
Luc Van Gool
Radu Timofte
SupR
113
539
0
23 Mar 2020
A Survey on Deep Learning in Medical Image Analysis
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
292
10,618
0
19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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