An in-depth analysis of Convolutional Neural Network architectures with transfer learning for skin disease diagnosis

Abstract

Low contrasts and visual similarity between different skin conditions make skin disease recognition a challenging task. Current techniques to detect and diagnose skin disease accurately require high-level professional expertise. Artificial intelligence paves the way for developing computer vision-based applications in medical imaging, like recognizing dermatological conditions. This research proposed an efficient solution for skin disease recognition by implementing Convolutional Neural Network (CNN) architectures……………… Please click pdf option to read more.

Al Amin Biswas

Lecturer at Computer Science and Engineering

My research interests include Machine Learning, Deep Learning, Natural Language Processing, AI in Healthcare, Health Informatics, and Human-Computer Interaction.