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

[MICCAI 2023] ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification

Official implementation of MICCAI2024 paper "Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis"

AI-based localization and classification of skin disease with erythema

Dermatrix is an AI-powered tool designed to help identify and provide information about common skin conditions. The application uses deep learning technology to analyze images of skin and compare them against a database of known skin diseases.

Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets

Predicting type of Skin Disease using CNN's . Deployed using Flask

Skin Lesion Classification On Imbalanced Data Using Deep Learning With Soft Attention

A small Android application that determines a skin disease by a photo

MERN Stack Web Application "EpiDetect" which uses a fine-tuned ResNet50 model for skin disease detection.

Deep learning–powered platform for skin disease image classification and symptom-based disease prediction using a conversational LLM chatbot. Combines computer vision (MobileNetV2, EfficientNet) with natural language processing for interactive, user-friendly medical guidance.

A Hybrid Deep Learning Model using ViT and EfficientNetB0 for skin lesion classification on the HAM10000 dataset. It leverages data augmentation and early stopping to improve accuracy and reduce overfitting.

AI-powered skin disease classification system using a fine-tuned ResNet CNN with Grad-CAM explainability. Built with PyTorch and Streamlit to predict 8 skin conditions and visualize model attention for transparent, confidence-aware predictions.

disease detection model using ML model and transfer learning

This repo contains the notebooks regarding our deep learning based image recognition projects with my students in Spelman College

A comprehensive deep learning-based system for the automated classification of skin diseases, leveraging convolutional neural networks to assist healthcare professionals in early diagnosis and treatment.

In this project i've built a CNN to classify skin diseases from images.

Skin Disease Detection Web App

An Effective Classification of Skin Infection using Deep Learning Techniques