xiaochengcike Goto Github PK
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xiaochengcike's Projects
radiogrammetric_measurement_active_contour_osteoporosis
Radiogrammetric Measurement Of Third Metacarpal Bone From Hand Radiogram Using Active Contour Model to detect osteoporosis disease
radiomic-prediction-of-tumor-grade-and-overall-survival-from-the-brats-glioma-dataset
Folder corresponding to 2017 summer project at MD Anderson Cancer Center.
radiomic-prediction-of-tumor-grade-from-the-brats-glioma-dataset
For MD Anderson Colen Laboratory.
radiomics
MATLAB programming tools for radiomics analysis
radiomics-1
MATLAB Implementation for project Nasopharyngeal Carcinoma Segmentation via HMRF-EM with Maximum Entropy
radiomics-2
A python implementation of the Radiomics approach by Aerts et al (http://www.nature.com/articles/ncomms5006)
radiomics-develop
A repository to develop code for IBSI compliant radiomics applications
radiomicsfeaturevisualization
Visualization for radiomics feature generated by pyradiomics
random-walk
Segmentation of pulmonary nodules with improved random walk
randomforest-matlab
Automatically exported from code.google.com/p/randomforest-matlab
randomwalk
An implementation of a random walk and a loop erased random walk in python
randwirenn
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
raunet-tumor-segmentation
residual attention unet for tumor segmentation (liver and brain)
rcf
Richer Convolutional Features for Edge Detection
real-time-network
real-time network architecture for mobile devices and semantic segmentation
real-world-masked-face-dataset
Real-World Masked Face Dataset，口罩人脸数据集
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
recurrent-decoding-cell
Code for AAAI 2020 paper "Segmenting Medical MRI via Recurrent Decoding Cell".
refined-segmentation-r-cnn
A Deep Learning method to segment punctate white matter lesions (PWMLs); Brain tumor segmentation;
refinenet-image-segmentation
a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
region-growing-by-cellular-automata
This repo contains python implementation for segmentating uniform textures in images using Cellular Automata based Region Growing. Cellular Automata is a cell state evolution theory based on the states of the neighboring cells. For more details, look README.
regiongrowingalgorithm
Scene Segmentation and Interpretation - Image Segmentation - Region Growing Algorithm
regnet
Nonrigid image registration using multi-scale 3D convolutional neural networks
regseg
RegSeg is a simultaneous segmentation and registration method that uses active contours without edges (ACWE) extracted from structural images. The contours evolve through a free-form deformation field supported by the B-spline basis to optimally map the contours onto the data in the target space.
relaynet
Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)
relaynet_pytorch
Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
remote_sensing_solar_pv
Progress towards global asset localisation using remote sensing and computer vision, beginning with solar PV.
renal-segmentation
Automatic Renal Segmentation for MR Urography Using 3D-GrabCut and Random Forests
repeated-line-tracking
Implementation of Repeated Line Tracking algorithm for finger vein feature extraction
repri-for-few-shot-segmentation
(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166
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