Paper published in a book (Scientific congresses and symposiums)
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis
Kang, Hanul; Park, Ho-Min; Ahn, Yuju et al.
2021In Samuelson, Frank W.; Taylor-Phillips, Sian (Eds.) Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment
Peer reviewed
 

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Keywords :
class activation mapping; computer-aided diagnosis; deep learning; segmentation; convolutional neural network
Disciplines :
Human health sciences: Multidisciplinary, general & others
Computer science
Author, co-author :
Kang, Hanul
Park, Ho-Min
Ahn, Yuju
Van Messem, Arnout  ;  Université de Liège - ULiège > Département de mathématique > Statistique applquée aux sciences
De Neve, Wesley
Language :
English
Title :
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis
Publication date :
2021
Event name :
SPIE Medical Imaging
Event organizer :
International Society for Optics and Photonics
Event date :
2021
Audience :
International
Main work title :
Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment
Editor :
Samuelson, Frank W.
Taylor-Phillips, Sian
Publisher :
SPIE
Pages :
119 - 131
Peer reviewed :
Peer reviewed
Commentary :
11599
Available on ORBi :
since 11 March 2021

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