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

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Skin Disease Detection web app predict the skin disease from a single image in less than one second.

Deep Multimodal Guidance for Medical Image Classification: https://arxiv.org/pdf/2203.05683.pdf

Datasets for skin image analysis

ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection

AI-based localization and classification of skin disease with erythema

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

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

Code for the paper "Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis", CVPRW 2023.

The official implementation of "TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis"

[ECCV ISIC Workshop 2022 (best paper)] FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning (an official implementation)

ISIC 2018 - Skin Lesion Classification for Melanoma Detection

StyleGAN2-ADA for generation of synthetic skin lesions

This repo includes classifier trained to distinct 7 type of skin lesions

Official implementation of "Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attention"

Skin Lesions Classification using Computer Vision and Convolutional Neural Networks

Skin lesion classification, using Keras and the ISIC 2020 dataset

Code for the paper "Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models", ISBI 2024 (Oral).