M<sup>2</sup>UNet: Multi-Scale Feature Acquisition and Multi-Input Edge Supplement Based on UNet for Efficient Segmentation of Breast Tumor in Ultrasound Images

M<sup>2</sup>UNet: Multi-Scale Feature Acquisition and Multi-Input Edge Supplement Based on UNet for Efficient Segmentation of Breast Tumor in Ultrasound Images

<b>Background/Objectives:</b> The morphological characteristics of breast tumors play a crucial role in the preliminary diagnosis of breast cancer. However, malignant tumors often exhibit rough, irregular edges and unclear, boundaries in ultrasound images. Additionally, variations in tum...

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Bibliographic Details
Main Authors: Lin Pan, Mengshi Tang, Xin Chen, Zhongshi Du, Danfeng Huang, Mingjing Yang, Yijie Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
breast cancer
segmentation
multi-scale feature fusion
ultrasound image
deep learning
Online Access:https://www.mdpi.com/2075-4418/15/8/944
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