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

In 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 impact/enhancemen...

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Vydáno v:	Frontiers in neuroscience Ročník 18; s. 1363930
Hlavní autoři:	Zaman, Asim, Hassan, Haseeb, Zeng, Xueqiang, Khan, Rashid, Lu, Jiaxi, Yang, Huihui, Miao, Xiaoqiang, Cao, Anbo, Yang, Yingjian, Huang, Bingding, Guo, Yingwei, Kang, Yan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Media S.A 2024
Témata:	adaptive feature extraction attention mechanism brain lesion segmentation computer-aided diagnosis encoder-decoder architecture medical image analysis deep learning attention mechanism encoder-decoder architecture neurological diagnostics computer-aided diagnosis adaptive feature extraction medical image analysis brain lesion segmentation
ISSN:	1662-453X, 1662-4548, 1662-453X
On-line přístup:	Získat plný text
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