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Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images

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Published in:Discover Oncology
Format: Online Article RSS Article
Published: 2026
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container_title Discover Oncology
description
discipline_display Endocrinology
discipline_facet Endocrinology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Discover Oncology
last_indexed 2026-06-11T02:00:41.891Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images
Endocrinology
General
Endocrinology
sub_discipline_display General
sub_discipline_facet General
subject_display Endocrinology
General
Endocrinology
Endocrinology
General
Endocrinology
subject_facet Endocrinology
General
Endocrinology
title Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images
title_auth Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images
title_full Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images
title_fullStr Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images
title_full_unstemmed Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images
title_short Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images
title_sort performance evaluation of deep learning based yolov5 and yolov8 models for real time breast cancer detection in mammographic images
topic Endocrinology
General
Endocrinology
url https://link.springer.com/article/10.1007/s12672-026-04746-2