Aug 2026
Semantic-Aware Semi-Supervised Systematic Segmentation for Brain Magnetic Resonance Image.
Accurate segmentation of brain MRI images is essential for early diagnosis and prevention of brain tumors and strokes. However, it is challenging due to data scarcity, domain shift, complexity, and blurred edges. Recent methods use mean-teacher model learning for the semantic details of an individual image based on the...
Hussain Ahmad Madni, Silvia Zottin, Axel De Nardin et al.
· International Journal of Neu... · 0 citations