HMA-Net: a hybrid mixer framework with multihead attention for breast ultrasound image segmentation

IntroductionBreast cancer is a severe illness predominantly affecting women, and in most cases, it leads to loss of life if left undetected. Early detection can significantly reduce the mortality rate associated with breast cancer. Ultrasound imaging has been widely used for effectively detecting th...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	Soumya Sara Koshy, L. Jani Anbarasi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-06-01
Subjects:	breast cancer deep learning ultrasound images segmentation ConvNeXt ConvMixer
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2025.1572433/full