Advanced Brain Tumor Segmentation Using SAM2-UNet

Image segmentation is one of the key factors in diagnosing glioma patients with brain tumors. It helps doctors identify the types of tumor that a patient is carrying and will lead to a prognosis that will help save the lives of patients. The analysis of medical images is a specialized domain in comp...

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Veröffentlicht in:	Applied sciences Jg. 15; H. 6; S. 3267
Hauptverfasser:	Pidishetti, Rohit Viswakarma, Amjad, Maaz, Sheng, Victor S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2025
Schlagworte:	Brain cancer brain tumor segmentation Brain tumors BraTS 2020 Care and treatment Datasets Deep learning Edema Glioma Gliomas Localization Machine vision Magnetic resonance imaging medical image segmentation Medical imaging equipment Medical research Prognosis segment anything model-2 Semantics Tissues Tumors U-Network Germany
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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