shentong-hbu's repositories
3D-Machine-Learning
A resource repository for 3D machine learning
awesome-anomaly-detection-in-medical-images
Awesome anomaly detection in medical images
blood_vessel_feature_extraction
python script to skeletonize and extract key features from retinal vasculature
-Deep-learning-with-simulated-data-in-vascular-segmentation
Brain vessel segmentation program based on Residual UNet
3DVnet-Segment
用3DVnet开发的医学图像分割
Alzheimers-DL-Network
A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.
brain-tumor-mri-dataset
Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.
brain-vessel-segmentation-1
Implementation of deepvesselnet
Brain_3D_Vessel_Datasets
The public brain 3D vessel datasets, include TubeTK and MIDAS.
BrainTumorSegmentation
Brain tumor segmentation using UNET
Coronary-Artery-Tracking-via-3D-CNN-Classification
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
CTSegNet
CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).
Deep-Learning-based-Emotion-Recognition
Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
deeplearning-book
机器学习资料，吴恩达训练秘籍等
interview
2020秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理
ITKTubeTK
TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.
LiverTumor-VesselsSegmenter
The liver, tumor and vessels segmentation is achieved in this application using semi-automatic segmentation method. It uses DICOM data of abdominal CT scans as input and will visualize a 3D model as output..
Lung-Nodule-Segmenation
Keras implementation of MSc Thesis (Iran University Of Science and Technology)
MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
mitorch
This package implements deep learning modules for medical imaging application in PyTorch (miTorch).
MRI-Image-Segmentation
Image segmentations of 3d MRI brain vessels
Pytorch-3D-Medical-Image-Semantic-Segmentation
3D medical image semantic segmentation with Pytorch.
pytorch-deep-learning
pytorch版dp教材
RE-Net
3D cerebrovascular volume segmentation in Pytorch.
SegLoss
A collection of loss functions for medical image segmentation
VesselSegPro
Semi-automatic vascular segmentation of dynamic ASL MR angiography