Skin Disease Diagnosis: Deep Learning with CNNs
Built CNN-based deep learning model for automated skin disease classification achieving 96% accuracy. Trained on 10K+ medical images using ResNet50 and transfer learning. Implemented image preprocessing pipelines and data augmentation. Deployed model via Flask API with real-time inference capability. Applicable to dermatology clinics and telemedicine platforms for rapid diagnosis assistance.
01 Nov 2022
Keywords
Deep Learning
CNN
Machine Learning
Healthcare
ResNet50
Medical AI
Python
