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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Frontiers in neuroscience Jg. 18; S. 1363930
Hauptverfasser:	Zaman, Asim, Hassan, Haseeb, Zeng, Xueqiang, Khan, Rashid, Lu, Jiaxi, Yang, Huihui, Miao, Xiaoqiang, Cao, Anbo, Yang, Yingjian, Huang, Bingding, Guo, Yingwei, Kang, Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 2024
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!