Pinned Repositories
ACA-Localization-Classification
在UBM图像中，首先自动定位房角隐窝的顶点，然后拟合出房角内侧边缘，并计算出房角隐窝角度、定性分析虹膜形态以及虹膜根部灰度特征等参数，最后基于Spaeth分级法将前房角分为开闭窄三类。
Accurate-localization-of-key-points-Scleral-Spur-based-on-VGG19-on-ACA-and-measurement-of-relevant
In previous studies, classification tasks were completed, and the ACA was divided into three categories: open, closed, and narrow. However, it is important to locate the scleral-spur of open angle and narrow angle and measure the relevant parameters.
AI-LAB
This repository contains a docker image that I use to develop my artificial intelligence applications in an uncomplicated fashion. Python, TensorFlow, PyTorch, ONNX, Keras, OpenCV, TensorRT, Numpy, Jupyter notebook... :whale2::fire:
Automatic-recognition-of-lung-opacities-region-on-chest-radiographs
肺部不透明区域识别Chest radiograph (CXR) is one of the common radiological examinations used to screen and diagnose many lung diseases. Most pulmonary diseases usually present on CXR as one or more opacities or less transparent areas of the lung. However, it is a difficult task to identify opacities areas accurately. This project designs an algorithm to assist clinicians in diagnosis.
Back-Propagation-Neural-Network-Classification-Algorithm-of-ECG-Signal
In the ECG automatic classification system, the accuracy of classification has always been an important part of scholars'research. Therefore, BP neural network is used to classify and recognize ECG signals in ECG automatic classification system.
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
classify-for-cervical
pytorch宫颈图像分类
dataset
医学影像数据集列表
Iris-location-Algorithm
A method of gray value of unit sector area is proposed to solve the problem of iris localization.First, in this method, a rectangular area containing pupil is segmented by gray-scale projection algorithm, meanwhile,the OTSU algorithm is used to determine the threshold of this rectangular area and segment the pupil. With respect to outer location in a certain direction, a sector area in the direction needs to be segmented according to the pupil center. Then the gray value of each concentric sector ring is calculated by setting steps to 5 pixels,and the abscissa values of the position where the maximum change in gray value is calculated as the radius in that direction.The location of boundary points in other directions is also applied by this method.Finally, these points are filtered and used to fit outer boundary of iris. The results shows that the iris image segmented by this method can achieve good result with good application and reference value.
raster-images
栅格化图像算法，优化标注边缘
1579477793's Repositories
1579477793/Accurate-localization-of-key-points-Scleral-Spur-based-on-VGG19-on-ACA-and-measurement-of-relevant
In previous studies, classification tasks were completed, and the ACA was divided into three categories: open, closed, and narrow. However, it is important to locate the scleral-spur of open angle and narrow angle and measure the relevant parameters.
1579477793/Iris-location-Algorithm
A method of gray value of unit sector area is proposed to solve the problem of iris localization.First, in this method, a rectangular area containing pupil is segmented by gray-scale projection algorithm, meanwhile,the OTSU algorithm is used to determine the threshold of this rectangular area and segment the pupil. With respect to outer location in a certain direction, a sector area in the direction needs to be segmented according to the pupil center. Then the gray value of each concentric sector ring is calculated by setting steps to 5 pixels,and the abscissa values of the position where the maximum change in gray value is calculated as the radius in that direction.The location of boundary points in other directions is also applied by this method.Finally, these points are filtered and used to fit outer boundary of iris. The results shows that the iris image segmented by this method can achieve good result with good application and reference value.
1579477793/classify-for-cervical
pytorch宫颈图像分类
1579477793/Back-Propagation-Neural-Network-Classification-Algorithm-of-ECG-Signal
In the ECG automatic classification system, the accuracy of classification has always been an important part of scholars'research. Therefore, BP neural network is used to classify and recognize ECG signals in ECG automatic classification system.
1579477793/ACA-Localization-Classification
在UBM图像中，首先自动定位房角隐窝的顶点，然后拟合出房角内侧边缘，并计算出房角隐窝角度、定性分析虹膜形态以及虹膜根部灰度特征等参数，最后基于Spaeth分级法将前房角分为开闭窄三类。
1579477793/Automatic-recognition-of-lung-opacities-region-on-chest-radiographs
肺部不透明区域识别Chest radiograph (CXR) is one of the common radiological examinations used to screen and diagnose many lung diseases. Most pulmonary diseases usually present on CXR as one or more opacities or less transparent areas of the lung. However, it is a difficult task to identify opacities areas accurately. This project designs an algorithm to assist clinicians in diagnosis.
1579477793/dataset
医学影像数据集列表
1579477793/raster-images
栅格化图像算法，优化标注边缘
1579477793/AI-LAB
This repository contains a docker image that I use to develop my artificial intelligence applications in an uncomplicated fashion. Python, TensorFlow, PyTorch, ONNX, Keras, OpenCV, TensorRT, Numpy, Jupyter notebook... :whale2::fire:
1579477793/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
1579477793/BET
Bet for CT
1579477793/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
1579477793/CT_BET
Robust Brain Extraction Tool for CT Head Images
1579477793/CTseg
Brain CT segmentation and normalisation, implemented in MATLAB.
1579477793/data-augmentation
1579477793/Deep-learning-with-simulated-data-in-vascular-segmentation
Brain vessel segmentation program based on Residual UNet
1579477793/Deep-Reinforced-Tree-Traversal
1579477793/DeepCenterline
Model for finding a centerline distance map of blood vessel segmentations to then be fed into a graph minimum path extractor to find the centerlines of a vessel using PyTorch. It uses a Residual UNet (Convolutional AutoEncoder) type architecture.
1579477793/Distance-of-point_to_point
Distance of a pair of opposite_point
1579477793/FAE
FeAture Explorer
1579477793/Faster_RCNN_for_Open_Images_Dataset_Keras
Faster R-CNN for Open Images Dataset by Keras
1579477793/FastSurfer
PyTorch implementation of FastSurferCNN
1579477793/GLIA-Net
A segmentation network for intracranial aneurysm on CTA images using pytorch
1579477793/ITKElastix
An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images
1579477793/ITKMinimalPathExtraction
Vessel and tube centerline extraction
1579477793/mra_blood_vessel_segmentation
Cerebral MRA Blood Vessel Segmentation, using Image Projections and Neural Networks
1579477793/ORG-Atlases
ORG Fiber Clustering White Matter Atlas
1579477793/pytorch-doc-zh
Pytorch 中文文档
1579477793/pytorch-lesson-zh
pytorch 包教不包会
1579477793/Recursive-Cascaded-Networks
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration