Instructions for the removal of duplicate image files from within individual ISIC datasets and across all ISIC datasets.

Skin Lesion Analysis Towards Melanoma Detection

ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection

The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.

Source code and experiments for the paper: "Dark Corner on Skin Lesion Image Dataset: Does it matter?"

Analysis of Skin Lesion Images to segment lesion regions and classify lesion type using adversarial deep learning.

Machine Learning Model to Skin Tumor Analysis and Classification.

ISIC2019 skin lesion classification (binary & multi-class) as well as segmentation pipelines using VGG16_BN and visual attention blocks. The project features improving the results found in the literature by implementing an ensemble architecture. This project was developed for "Computer Aided Diagnosis - CAD" course for MAIA masters program.