Popular GitHub Repositories for Skin Lesion Classification

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

AI-based localization and classification of skin disease with erythema

CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions

Metaheuristic algorithm based hyper-parameters optimization for skin lesion classification

This repository contains code and dataset for a multiclass image classification model to detect monkeypox using the ResNet50 architecture. The project focuses on classifying skin lesion images into different categories related to monkeypox, achieving 100% accuracy.

Build a CNN based model which can accurately classify skin cancer