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aaasss0636's Projects
acwe
Python implementation of paper Active Contour Without Edges
am-gcn
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
anatomysketch-software
A medical image segmentation software supporting user interventions and user-defined funtion extention
attention-gated-networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
bidskit
Utility functions for working with DICOM and BIDS neuroimaging data
bioexp
Explainability of Deep Learning Models
bonetumornet
A Multitask Deep Learning Model for Simultaneous Detection, Segmentation and Classification of Bone Tumors on Radiographs
brain-tumor-segmentation-3d-unet-cnn
Brain tumor segmentation using a 3D UNet CNN
brainstorm
Fast, flexible and fun neural networks.
cascaded-fcn
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
ccrbm
Code for experiments with convolutional classification restricted Boltzmann machines
chanvese
Chan-Vese level-sets in Python
cmicot
Efficient feature selection method based on Conditional Mutual Information.
cn-deep-learning
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
cnn_finetune
Fine-tune CNN in Keras
cntk
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
conditional-gan
Anime Generation
context-encoding-chest-xrays
Research Project, Honours Programme @ UvA, 2018
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
convcrf
This repository contains the reference implementation for our proposed Convolutional CRFs.
csdn
The code samples of my CSDN blog (http://blog.csdn.net/zssureqh)
darknet
Convolutional Neural Networks
dcgan-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
ddsm-visual-primitives
Using deep learning to discover interpretable representations for mammogram classification and explanation
deep-learning-models
Keras code and weights files for popular deep learning models.
deeplabv3
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
deepmiml
A Keras implementation of the DeepMIML Network for multi-instance multi-label learning
densenet-keras
DenseNet Implementation in Keras with ImageNet Pretrained Models
dhash
Comparing images with dHash algorithm.
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