Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

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

Melanoma Detection Tool : Website

Melanoma Detection Tool : REST APIs

Developed an automated classification system for melanoma detection using TensorFlow and Convolutional Neural Networks (CNN), integrating patient-level data with image processing, and deployed with Docker for scalable clinical use.

Tool to support the clinical diagnosis of melanoma skin cancer

Skin cancer, nevus, melanoma research data acquired from https://www.fc.up.pt/addi/project.html

[MICCAI ISIC 2024] Code for "Lesion Elevation Prediction from Skin Images Improves Diagnosis"

Code for the paper "Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models", ISBI 2024 (Oral).

This repository uses Deep Learning methods to develop a neural network that can effectively detect Melanoma.

Melanoma Skin Cancer Diagnosis based on Dermoscopic Features and DNA Mutations