Skin cancer classification enabled mobile neuro fuzzy network and entropy with weber local binary pattern based for feature extraction
E Gayatri, AS Lakshminarayanan - Expert Systems with Applications, 2024 - Elsevier
Skin cancer (SC) is the most quickly spreading diagnosis all over the world due to limited
resources presented. Accurately diagnosing skin lesions in their early stages could help …
resources presented. Accurately diagnosing skin lesions in their early stages could help …
PheoSeg: A 3D transfer learning framework for accurate abdominal CT pheochromocytoma segmentation and surgical grade prediction
D Wang, J Zeng, G Huang, D Xu, X Jia, C Qin… - Knowledge-Based …, 2024 - Elsevier
Pheochromocytoma is a rare urological disease. Accurate segmentation of
pheochromocytoma and its surrounding abdominal organs is crucial for surgical planning …
pheochromocytoma and its surrounding abdominal organs is crucial for surgical planning …