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.
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
A Fast and Memory-efficient (Light) Brain MRI Segmentation Framework for Clinical Applications
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.
Adapt nnUNet for brain tumor segmentation methods to 2D multi-class BRATS slices
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