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.

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

Melanoma Detection Tool : Website

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

Melanoma Skin Cancer Diagnosis based on Dermoscopic Features and DNA Mutations

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

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

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