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1. mmg-clip mmg-clip Public

   A vision-language implementation for automated mammography reporting using CLIP (Contrastive Language-Image Pre-Training) neural network.

   Jupyter Notebook

2. ISIC2019-skin-lesion-classification-segmentation ISIC2019-skin-lesion-classification-segmentation Public

   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 lite…

   Jupyter Notebook 1

3. COPDgene-CT-registration COPDgene-CT-registration Public

   Registration of image sets and reference data of inspiratory and expiatory breath-hold CT image pairs acquired from the National Heart Lung Blood Institute COPDgene study archive. This project was …

   Jupyter Notebook

4. IBSR18-brain-tissue-segmentation IBSR18-brain-tissue-segmentation Public

   Brain tissue (WM, GM, CSF) segmentation using both multi-atlas and nnUNet approaches. This project was developed for a course titled "Medical Image Segmentation and Applications" - MISA under MAIA …

   Jupyter Notebook 1

5. breast-mass-detection-and-segmentation-using-multi-scale-morphological-sifting-and-kmeans-clustering breast-mass-detection-and-segmentation-using-multi-scale-morphological-sifting-and-kmeans-clustering Public

   A mammographic mass detection and segmentation approach using a multi-scale morphological sifting approach integrated with a mean shift filter, k-means, and post-processing that detects and segment…

   Jupyter Notebook

6. magnification-specific-breast-histopathology-image-classification-using-machine-and-deep-learning magnification-specific-breast-histopathology-image-classification-using-machine-and-deep-learning Public

   Various machine learning and deep learning models has been used to compare and evaluate different approaches on a breast cancer histopathological dataset for a multi-class image classification task.

   Jupyter Notebook 2