Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation

Segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) data presents a significant challenge due to the necessity for large volumes of training data and a sophisticated training process. Traditional MRI datasets often lack the extensive sample sizes required for effect...

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Detalhes bibliográficos

Principais autores:	Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-03-01
coleção:	NeuroImage: Reports
Assuntos:	Multiple sclerosis U-Net Multi-modal MRI Segmentation Lesion detection
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666956025000030
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