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.
Multi-Site DICOM AutoSegmentation with Parallel NNUNet models
Automatic Brain Tumour Segmentation through reimplementation of the popular nnUNet model
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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