EnigmaNet: A Novel Attention-Enhanced Segmentation Framework for Ischemic Stroke Lesion Detection in Brain MRI

Segmentation of lesions is crucial for the detection and treatment of ischemic stroke. The aim of this work is to develop a robust and highly accurate framework for lesion stroke detection in brain Magnetic Resonance Imaging (MRI). The paper propose a novel deep learning model, named EnigmaNet, for...

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Bibliografische Detailangaben

Hauptverfasser:	Shambhavi Sinha, Manan Bhatt, Anubhav Anand, Anu Shaju Areeckal, Aparna V
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Magnetic resonance imaging deep learning image segmentation ischemic stroke lesion FLAIR DWI
Online-Zugang:	https://ieeexplore.ieee.org/document/10580897/
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