YOLO-LS: a novel deep learning framework for brain tumor segmentation in Magnetic Resonance Imaging

Abstract Brain tumors exhibit high heterogeneity in morphology, texture, and location, making accurate recognition and segmentation critical for clinical diagnosis, surgical planning, and prognosis evaluation. However, manual annotation of MRI scans is hindered by subjective bias and inefficiency. F...

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Hlavní autoři:	Jinghui Chen, Yan Hu, Tao Yang, Zhipeng Sun, Lianxin Xie, Hongjia Zhao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-05-01
Edice:	Scientific Reports
Témata:	Brain tumor Artificial intelligence Image segmentation YOLO11 Magnetic resonance YOLO-LS
On-line přístup:	https://doi.org/10.1038/s41598-026-48825-4
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