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Achievements and Challenges in Explaining Deep Learning based
  Computer-Aided Diagnosis Systems

Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems

26 November 2020
Adriano Lucieri
Muhammad Naseer Bajwa
Andreas Dengel
Sheraz Ahmed
ArXivPDFHTML

Papers citing "Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems"

8 / 8 papers shown
Title
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis
  Across the Spectrum
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum
Kishore Babu Nampalle
Pradeep Singh
Vivek Narayan Uppala
Balasubramanian Raman
MedIm
19
2
0
01 Jul 2023
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and
  Future Opportunities
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 Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi
Rahee Walambe
K. Kotecha
23
137
0
17 May 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
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip H. S. Torr
64
437
0
06 Apr 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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