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.
Detects atopic eczema in babies. Used by 3rd-world midwifery nurses.
Clustering images of skin diseases using DINOv2 embeddings and dimensionality reduction techniques.
Skin Disease Classification Using Decision Tree Algorithm
An advanced medical app using Flutter and Firebase, powered by AI to analyze skin images and provide diagnoses and treatment recommendations for burns, skin cancer, and other skin conditions. It includes a custom chatbot and a history log to track health progress.
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