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

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

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

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

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

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

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

ISIC 2018 - Skin Lesion Classification for Melanoma Detection

StyleGAN2-ADA for generation of synthetic skin lesions

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

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

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).