Abstract: Prototype-based meta-learning has emerged as an effective approach for few-shot hyperspectral image classification (HSIC), but estimating deterministic prototypes directly from a limited ...
Abstract: Accurate segmentation and classification of brain tumors from magnetic resonance imaging (MRI) are critical for effective diagnosis and treatment planning. This article proposes a novel ...
Yann LeCun world model research crossed a milestone in May 2026: two preprints from his group formally proved when the JEPA ...
The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...
Pediatric oncology is rapidly advancing through precision therapeutics, biomarker-informed trials, and adaptive treatment strategies designed to improve ...
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