Pinned Repositories
-python-BAT-
针对常见的BAT公司中的大数据面试和笔试问题，列出解决思路，并使用python来实现
3D-CNN-for-Autism-Diagnosis
3d-DenseNet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
cardiac-segmentation
Right Ventricle Cardiac MRI Segmentation：2D U-net，2D Dilated u-nets, 2D Dilated densenets: multiple scales at once
cnn4brca
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis
ComputerVision-list
materials for deep learning and computer vision
end2end-all-conv
End-to-end training for breast cancer diagnosis using deep all convolutional networks
ild-cnn
Interstitial lung disease project
Volumetric-ConvNet-for-prostate-segmentation
Network architecture for "Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images"
ChelovekHe's Repositories
ChelovekHe/end2end-all-conv
End-to-end training for breast cancer diagnosis using deep all convolutional networks
ChelovekHe/cardiac-segmentation
Right Ventricle Cardiac MRI Segmentation：2D U-net，2D Dilated u-nets, 2D Dilated densenets: multiple scales at once
ChelovekHe/3d-DenseNet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
ChelovekHe/3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
ChelovekHe/Augmentor
Image augmentation library in Python for machine learning.
ChelovekHe/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
ChelovekHe/CADLab
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
ChelovekHe/cnn_finetune
Fine-tune CNN in Keras
ChelovekHe/deep-mil-for-whole-mammogram-classification
Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.
ChelovekHe/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
ChelovekHe/DLTK
Deep Learning Toolkit for Medical Image Analysis
ChelovekHe/ENet
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
ChelovekHe/HeartSeg
code of DenseVoxNet and 3D-DSN
ChelovekHe/imfractal
A library to compute (multi)fractal dimensions of images written in Python.
ChelovekHe/LightWeightHOG
A fast HOG feature extractor
ChelovekHe/LungCancerDetection
Lung cancer detection framework: LIDC sensitivities 0.839 per 4 false
ChelovekHe/morphsnakes
Morphological snakes for image segmentation and tracking
ChelovekHe/NiftyNet
An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
ChelovekHe/OpenPano
OpenPano: Automatic Panorama Stitching From Scratch
ChelovekHe/py-R-FCN
R-FCN with joint training and python support
ChelovekHe/pytorch-caffe-darknet-convert
convert between pytorch, caffe prototxt/weights and darkness cfg/weights
ChelovekHe/RFCN-tensorflow
RFCN implementation in TensorFlow
ChelovekHe/SENet
Squeeze-and-Excitation Networks
ChelovekHe/squeezeDet
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
ChelovekHe/sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
ChelovekHe/tensorflow-plot
📈 TensorFlow Plot Ops (In Progress)
ChelovekHe/torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
ChelovekHe/vision
Datasets, Transforms and Models specific to Computer Vision
ChelovekHe/YOLO3D
3D YOLO Implementation in TensorFlow
ChelovekHe/yolov2
YOLOv2 Implementation in Keras