Publication
Title
Systematic comparison of heatmapping techniques in deep learning in the context of diabetic retinopathy lesion detection
Author
Abstract
Heatmapping techniques can support explainability of deep learning (DL) predictions inmedical image analysis. However, individual techniques have been mainly applied in a descriptive way without an objective and systematic evaluation. We investigated comparative performances using diabetic retinopathy lesion detection as a benchmark task.
Language
English
Source (journal)
Translational vision science & technology / Association for Research in Vision and Ophthalmology [Rockville, Md] - Rockville, Md, 2012, currens
Publication
Rockville, Md : Association for Research in Vision and Ophthalmology , 2020
ISSN
2164-2591
DOI
10.1167/TVST.9.2.64
Volume/pages
9 :2 (2020) , 10 p.
Article Reference
64
ISI
000618898700002
Pubmed ID
33403156
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 08.02.2021
Last edited 10.11.2024
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