CMT-BUSNet: Adaptive Fusion-Based Triple-Branch Hybrid Architecture for Explainable Breast Ultrasound Tumor Segmentation

<b>Background/Objectives:</b> This study proposes CMT-BUSNet, a hybrid architecture integrating CNN, Mamba, and Transformer branches for breast ultrasound tumor segmentation with built-in explainability. <b>Methods:</b> CMT-BUSNet employs a CNN-anchored hierarchical parallel encoder where Mamba and...

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Үндсэн зохиолчид:	Hüseyin Kutlu, Cemil Çolak
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2026-04-01
Цуврал:	Diagnostics
Нөхцлүүд:	breast ultrasound tumor segmentation explainable artificial intelligence hybrid architecture Mamba deep learning
Онлайн хандалт:	https://www.mdpi.com/2075-4418/16/8/1203
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!