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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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Autori principali: Muhammad Jameel, Usman Haider, Usman Habib, Fatima Khalid, Muhammad Nadeem, Saeed Mian Qaisar
Natura: Artigo
Lingua:Inglês
Pubblicazione: PeerJ Inc. 2026-03-01
Serie:PeerJ Computer Science
Soggetti:
Brain tumor segmentation
nnU-Net
Feature map pruning
Efficient inference
Deep learning
Medical image analysis
Accesso online:https://peerj.com/articles/cs-3567.pdf
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