kristin-zlchen Goto Github PK
Type: User
Type: User
3D Liver Segmentation with GAN
3D-RecGAN in Tensorflow (ICCV Workshops 2017)
3D Graph Neural Networks for RGBD Semantic Segmentation
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
MS lesion segmentation using cascaded 3D convolutional neural networks
Keras implementation of the conditional GAN.
This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
code of DenseVoxNet and 3D-DSN
Implementation of Segnet, FCN, UNet and other models in Keras.
Keras implementation of Deep Convolutional Generative Adversarial Networks
Keras implementations of Generative Adversarial Networks.
Keras implementation of Graph Convolutional Networks
Spatial pyramid pooling layers for keras
Implementation of Squeeze and Excitation Networks in Keras
The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge
KiTS19——2019 Kidney Tumor Segmentation Challenge
Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices
An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
Multi-modal semantic segmentation
Non-local U-Nets for Biomedical Image Segmentation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.