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

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

We proposed an image processing-based method to detect skin diseases. This method takes the digital image of disease effect skin area and then uses image analysis to identify the type of disease. Our proposed approach is simple, fast, and does not require expensive equipment, it can run on any device which has internet access. Just upload the im…

This project was developed during 24hr Hackathon - Unscript 2k19. It is a service as telegram bot that takes infected skin image as input and predicts the skin disease.

[MedIA] Dermoscopic image retrieval based on rotation-invariance deep hashing

Lightweight Android Application to classify skin diseases upto 8 common skin diseases using tensorflow-lite.

Skin disease image classification using Convolutional Neural Network (CNN) and Support Vector Machine (SVM) with grayscale image preprocessing.

Clustering images of skin diseases using DINOv2 embeddings and dimensionality reduction techniques.

A computer-aided diagnostic tool using EfficientNetB0 for classifying Acne, Psoriasis, Cherry Angioma, and Melanoma. Features a "Human-in-the-Loop" triage system, Dull-Razor preprocessing, and multimodal metadata integration. Developed as a Research Implementation project at Galgotias University.

Detects atopic eczema in babies. Used by 3rd-world midwifery nurses.

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.

Skin Disease Text Classification uses NLP to categorize dermatology texts for diagnosis and research. Challenges include complex terms, data scarcity, class imbalance, and privacy concerns. It aids diagnosis, clinical support, and telemedicine.

ARVID-Skin

Skin Disease Detection - Computer Vision project in AI / ML / GenAI for CSEProjects360 final year project catalog.

AI-powered web app for skin disease classification using ResNet50V2 deep learning. Identifies Acne, Eczema, Psoriasis, Vitiligo & Warts from images. Features Flask interface, real-time predictions, and LIME explainability.

Skin disease detection using deep learning ensemble with React and Flask

Skin Disease Classification Repository

AI-powered Skin Disease Detection using CNN + Groq AI

AI-powered Skin Disease Detection and Analysis System using Deep Learning