The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations

This is the official repository for the spine segmentation course using nnUNet.

Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.

Automated cyst segmentation and counting pipeline for polycystic kidney disease µCT scans, using nnUNet and distance-transform peak detection with genetic algorithm parameter optimization.

Multi-Site DICOM AutoSegmentation with Parallel NNUNet models

Multitask Learning on Segmentation and Classification using nnU-Net with Cutomized Acceleration Strategy

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.

Automatic Brain Tumour Segmentation through reimplementation of the popular nnUNet model

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.

End-to-end pipeline for data preparation, preprocessing, custom data splitting, and training using nnU-Net v2 for medical image segmentation.

Deep learning applications for tumor segmentation using nnU-Net

High-precision pancreatic tumour segmentation using TransAttUNet++, a hybrid CNN-Transformer architecture featuring nested skip connections and dynamic attention gating.

Semi-supervised segmentation framework built on nnUNet baseline. Includes five different semi-supervised network applications on an nnUNet baseline.

Brain Tumor Detection using CNN and Brain Tumor Segmentation using nnU-Net on MRI images.

3rd place submission to Multi-class Bi-Atrial Segmentation (MBAS) Challenge at MICCAI 2024

A model for lung tumor nodules segmentation in mice CT scans.

BreastSonoVision: An AI-powered deep learning project for breast ultrasound image segmentation