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Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0

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Bibliographic Details
Published in:International Journal of Electrical and Computer Engineering
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Electrical and Computer Engineering
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
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genre Journal Article
id rss_article:78381
institution FRELIP
journal_source_facet International Journal of Electrical and Computer Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0
title_auth Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0
title_full Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0
title_fullStr Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0
title_full_unstemmed Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0
title_short Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0
title_sort optimized resnet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with efficientnet-b0
topic Computer Science
General
Computer Science
url https://ijece.iaescore.com/index.php/IJECE/article/view/41084