Breast Ultrasound Image Segmentation Based on Attention U-Net

Breast cancer remains a significant health challenge, with early diagnosis critical for improving patient outcomes. This study explores the application of the Attention U-Net model for breast ultrasound image segmentation, aiming to enhance diagnostic accuracy in breast cancer detection. Experimenta

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354629
Citations
1
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
2.48
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article

Breast Ultrasound Image Segmentation Based on Attention U-Net

Yiming Lu
1 citations
AI in cancer detection
2.48
article

Breast Ultrasound Image Segmentation Based on Attention U-Net

Yiming Lu
article en
1 citations

Abstract

Breast cancer remains a significant health challenge, with early diagnosis critical for improving patient outcomes. This study explores the application of the Attention U-Net model for breast ultrasound image segmentation, aiming to enhance diagnostic accuracy in breast cancer detection. Experimenta

East China University of Science and Technology (CN)
Openalex Percentile: Top 11%
AI in cancer detection
2.48
DOIOpen Access PDFOpenAlex
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Breast Ultrasound Image Segmentation Based on Attention U-Net — Yiming Lu · (2025) | TGRS Research Map | TGRS