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2d_lesion_segmentation

2D Lesion Segmentation

3d-cervical-spine-segmentation-and-multi-vertebrae-fracture-detection

Cervical spine 3D segmentation and classification using machine learning to detect fractures and assess vertebrae health.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bisenet-implementation

Here is a tutorial on how to implement a research Paper with Keras

brain-segmentation

Brain Segmentation on MRBrains18

brain-segmentation-1

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

brainprep

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

cervical-spine-segmentation

End-to-end pipeline for segmentation of MRI scans of cervical spine with 2D deep neural networks, e.g. U-net, FPN, PSPNet, Linknet.

datacamp

DataCamp data-science courses

examples

TensorFlow examples

gage-repeatability-dce-mri

Code for the simulation and analysis of Gage repeatability of Dynamic Contrast-Enhanced MRI data.

gan

Tooling for GANs in TensorFlow

hello-world

my first git hub

histogram-equalizer

A simple histogram equalization implementation

ibsrdatareader

image_segmentation_brain_mri

Training a Unet Model to segment and predict masks from Brain MRI images. (UNet, CNN, Intersection Over Union, Dice Co-efficient)

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

maskgan

MaskGAN for unpaired MR-to-CT synthesis. Official implementation of MICCAI 2023

medical-image-augmentation

The official implementation of Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images.

medicaldataaugmentationtool

medicaldataaugmentationtool-verse

moose

MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

mrbrains18

This code is written to participate in the MRBrainS18 competition.

mrbrains18-1

Grand Challenge on MR Brain Segmentation at MICCAI 2018 - MISPL

mrbrains18-2

Submission MRBrainS

mrbrains18_vicorob_docker

Docker submitted to the MICCAI MRBrainS18

mri_segmentation_dl

It's a repo for a project at NHW 2017. We want to build several nipype pipelines & estimate influence of preprocessing on quality of brain lesions segmentation

nested-cross-validation

Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that implements the scikit-learn interface.

preprocessing-pipeline-on-brain-mr-images

The project is used to do preprocessing on brain MR images.