Efficient brain tumor segmentation using Hybrid-Pruned nnU-Net

Accurate medical image segmentation plays a crucial role in diagnosing diseases and planning effective treatments, particularly in detecting brain tumors using Magnetic Resonance Imaging (MRI) scans. These segmentations provide detailed insights required to identify problems and deliver timely and e...

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Auteurs principaux:	Muhammad Jameel, Usman Haider, Usman Habib, Fatima Khalid, Muhammad Nadeem, Saeed Mian Qaisar
Format:	Artigo
Langue:	Inglês
Publié:	PeerJ Inc. 2026-03-01
Collection:	PeerJ Computer Science
Sujets:	Brain tumor segmentation nnU-Net Feature map pruning Efficient inference Deep learning Medical image analysis
Accès en ligne:	https://peerj.com/articles/cs-3567.pdf
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