From Detection to Diagnosis: An Advanced Transfer Learning Pipeline Using YOLO11 with Morphological Post-Processing for Brain Tumor Analysis for MRI Images

Accurate and timely detection of brain tumors from magnetic resonance imaging (MRI) scans is critical for improving patient outcomes and informing therapeutic decision-making. However, the complex heterogeneity of tumor morphology, scarcity of annotated medical data, and computational demands of dee...

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Bibliographic Details

Published in:	Journal of Imaging
Main Author:	Ikram Chourib
Format:	Article
Language:	English
Published:	MDPI AG 2025-08-01
Subjects:	brain tumor detection computer-aided diagnosis classification deep learning medical image post-processing
Online Access:	https://www.mdpi.com/2313-433X/11/8/282