This paper presents an automatic content-based image retrieval (CBIR) system for brain tumors on T1-weighted contrast-enhanced magnetic resonance images (CE-MRI). The key challenge in CBIR systems for MR images is the semantic gap between the low-level visual information captured by the MRI machine and the high-level information perceived by the human evaluator. The traditional featur... https://pipingrockers.shop/product-category/d-mannose/
Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning
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