kristin-zlchen Goto Github PK

3d-medical-segmentation-gan

3D Liver Segmentation with GAN

3d-recgan

3D-RecGAN in Tensorflow (ICCV Workshops 2017)

3dgnn_pytorch

3D Graph Neural Networks for RGBD Semantic Segmentation

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

anatomynet-for-anatomical-segmentation

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

bcnet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

cnn-ms-lesion-segmentation

MS lesion segmentation using cascaded 3D convolutional neural networks

conditional-dcgan-keras

Keras implementation of the conditional GAN.

deeplearning-segan-segmentation

This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

dsb17_3d_lung_nodule_classifier

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%)

dsb3tutorial

fcn-for-semantic-segmentation

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

fewshot_gan-unet3d

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

heartseg

code of DenseVoxNet and 3D-DSN

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-gcn

Keras implementation of Graph Convolutional Networks

keras-spp

Spatial pyramid pooling layers for keras

keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

kits19-challege

KiTS19——2019 Kidney Tumor Segmentation Challenge

lesionseg

Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices

luna16_multi_size_3dcnn

An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"

medicalnet

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.

mri-tumor-segmentation-brats

multimodalseg

Multi-modal semantic segmentation

non-local-u-nets

Non-local U-Nets for Biomedical Image Segmentation