The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
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Updated
Nov 13, 2024 - Jupyter Notebook
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
This is the official repository for the spine segmentation course using nnUNet.
Automatic Brain Tumour Segmentation through reimplementation of the popular nnUNet model
Multi-Site DICOM AutoSegmentation with Parallel NNUNet models
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 master program.
Developing a deep learning pipeline for the segmentation of fractures in musculoskeletal radiographs using nnU-Net and classifying each image as fractured or non-fractured using ResNet-18. Working with FracAtlas dataset.
A model for lung tumor nodules segmentation in mice CT scans.
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