Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.
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Updated
Dec 1, 2020 - Jupyter Notebook
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
AI-based localization and classification of skin disease with erythema
Official implementation of MICCAI2024 paper "Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis"
Data and code for our analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets
MERN Stack Web Application "EpiDetect" which uses a fine-tuned ResNet50 model for skin disease detection.
Skin Lesion Classification On Imbalanced Data Using Deep Learning With Soft Attention
A small Android application that determines a skin disease by a photo
Skin Disease Classifier
An Effective Classification of Skin Infection using Deep Learning Techniques
This repo contains the notebooks regarding our deep learning based image recognition projects with my students in Spelman College
Predicting type of Skin Disease using CNN's . Deployed using Flask
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