- Nijmegen, Netherlands
- https://abdel-habib.github.io/
- @AbdelrahmanU_
Highlights
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mmg-clip
mmg-clip PublicA vision-language implementation for automated mammography reporting using CLIP (Contrastive Language-Image Pre-Training) neural network.
Jupyter Notebook
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ISIC2019-skin-lesion-classification-segmentation
ISIC2019-skin-lesion-classification-segmentation PublicISIC2019 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
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COPDgene-CT-registration
COPDgene-CT-registration PublicRegistration 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
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IBSR18-brain-tissue-segmentation
IBSR18-brain-tissue-segmentation PublicBrain 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
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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 PublicA 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
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magnification-specific-breast-histopathology-image-classification-using-machine-and-deep-learning
magnification-specific-breast-histopathology-image-classification-using-machine-and-deep-learning PublicVarious 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
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