CAAF-ResUNet: Adaptive Attention Fusion with Boundary-Aware Loss for Lung Nodule Segmentation

<i>Background and Objectives</i>: The accurate segmentation of pulmonary nodules in computed tomography (CT) remains a critical yet challenging task due to variations in nodule size, shape, and boundary ambiguity. This study proposes CAAF-ResUNet (Context-Aware Adaptive Attention Fusion ResUNet), a...

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Detalhes bibliográficos

Principais autores:	Thang Quoc Pham, Thai Hoang Le, Khai Dinh Lai, Dat Quoc Ngo, Tan Van Pham, Quang Hong Hua, Khang Quang Le, Huyen Duy Mai Le, Tuyen Ngoc Lam Nguyen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-06-01
coleção:	Medicina
Assuntos:	lung nodule segmentation adaptive attention controller adaptive attention fusion boundary-aware loss functions
Acesso em linha:	https://www.mdpi.com/1648-9144/61/7/1126
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