Towards accurate diagnostics: deep-transfer learning in skin disease detection
Automated skin disease diagnosis remains a significant challenge due to inherent variations in skin tone, texture, lighting, and occlusions such as hair. Addressing these diagnostic difficulties is vital for developing reliable clinical decision-support systems. This research presents an automated classification framew...