Source code for the paper 'Data Augmentation for Skin Lesion Analysis' — 🏆 Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018
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Updated
Apr 4, 2019 - Python
Source code for the paper 'Data Augmentation for Skin Lesion Analysis' — 🏆 Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018
Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'
Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'
Classification of malignt or benignt melanoma using the ISIC 2020 Challenge Dataset.
This is a final-year project backend primarily focused on image classification for melanoma skin cancer. I have implemented a Convolutional Neural Network (CNN) AI model for this purpose.
Multiclass Skin lesion localization and Detection with YOLOv7-XAI Framework with explainable AI
Melanoma Detection Tool : REST APIs
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