The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.
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Updated
Apr 19, 2021 - Python
The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations
This repository contains an adapatation of the nnU-Net code to the detection of new or evolving Multiple Sclerosis lesions in FLAIR Magnetic Resonance images.
A Fast and Memory-efficient (Light) Brain MRI Segmentation Framework for Clinical Applications
Adapt nnUNet for brain tumor segmentation methods to 2D multi-class BRATS slices
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