Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging

IntroductionIn neurological diagnostics, accurate detection and segmentation of brain lesions is crucial. Identifying these lesions is challenging due to its complex morphology, especially when using traditional methods. Conventional methods are either computationally demanding with a marginal impac...

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Bibliografski detalji

Glavni autori:	Asim Zaman, Haseeb Hassan, Xueqiang Zeng, Rashid Khan, Jiaxi Lu, Huihui Yang, Xiaoqiang Miao, Anbo Cao, Yingjian Yang, Bingding Huang, Yingwei Guo, Yan Kang
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2024-04-01
Serija:	Frontiers in Neuroscience
Teme:	medical image analysis brain lesion segmentation adaptive feature extraction attention mechanism encoder-decoder architecture computer-aided diagnosis
Online pristup:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1363930/full
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