Ritaxuu's repositories

CVPR2020-Code

CVPR 2020 论文开源项目合集

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aics-segmentation

Part 1 of Allen Cell and Structure Segmenter: classic image segmentation workflow

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brain-vessel-segmentation

BRAVE-NET: Fully Automated Brain Vessel Segmentation In Patients with Cerebrovascular Disease

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CarotidArteryHistologySegmentation

The segemntation of the Histological slices of the Carotid Artery

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Coronary-Artery-Tracking-via-3D-CNN-Classification

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

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Domain-Adaptive-Faster-RCNN-PyTorch

Domain Adaptive Faster R-CNN in PyTorch

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FewShot_GAN-Unet3D

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

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JointVesselNet_VC-Net

Code Implementation for JointVesselNet (MICCAI 2020) & VC-Net (IEEE TVCG SciVis 2020)

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keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, R2U-net, Attention U-net, ResUnet-a, U^2-Net, and UNET 3+ with optional ImageNet-trained backbones.

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P2P-Net

Official implementation of "Fine-Grained Object Classification via Self-Supervised Pose Alignment".

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pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

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Pytorch-Medical-Segmentation

This repository is an unoffical PyTorch implementation of Medical segmentation in 3D and 2D.

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PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

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RE-Net

MICCAI 2020 Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network

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run-vnet-keras

Bash and python scripts to run a keras-implemented V-Net 3D segmentation model.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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SegWithDistMap

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

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setup-ipsec-vpn

Scripts to build your own IPsec VPN server, with IPsec/L2TP and Cisco IPsec on Ubuntu, Debian and CentOS

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torchio

Medical image preprocessing and augmentation toolkit for deep learning

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Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

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unet-pytorch

这是一个unet-pytorch的源码,可以训练自己的模型

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Vessel3DDL

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images

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