chaosallen / IPN_tensorflow
This is an implementation of "Image Projection Network: 3D to 2D Image Segmentation in OCTA Images". IPN is proposed for 3D to 2D segmentation. Our key insight is to build a projection learning module(PLM) which uses a unidirectional pooling layer to conduct effective features selection and dimension reduction concurrently.By combining multiple …
☆43Updated 4 years ago
Alternatives and similar repositories for IPN_tensorflow:
Users that are interested in IPN_tensorflow are comparing it to the libraries listed below
- This is an pytorch implementation of "IPN-V2 and OCTA-500: Methodology and Database for Retinal Image Segmentation".☆66Updated 3 years ago
- ☆122Updated 3 years ago
- CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)☆98Updated 2 years ago
- OCT preprocessing: Fully Convolutional Boundary Regression for Retina OCT Segmentation☆47Updated 4 years ago
- Deep Vessel Segmentation by Learning Graphical Connectivity☆99Updated 5 years ago
- ☆48Updated 2 years ago
- 3 Steps achieve SOTA in MICCAI 2020 Thyroid Nodule Segmentation Challenge☆60Updated 4 years ago
- Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"☆74Updated 4 years ago
- The official implementation of U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?☆73Updated 10 months ago
- Structure and Illumination Constrained GAN forMedical Image Quality Enhancement☆39Updated 2 years ago
- IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmenta…☆93Updated 4 years ago
- Breast mass segmentation in US with deep learning☆21Updated 4 years ago
- Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.or…☆44Updated 4 years ago
- 3D-Unet: patched based Pytorch implementation for medical images segmentation☆63Updated 3 years ago
- ☆112Updated 3 years ago
- 完成的心脏分割工作,欢迎大家star☆46Updated 5 years ago
- [MICCAI2022] PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation☆34Updated 2 years ago
- Thanks for the work by: Chen Y, Yu L, Wang J Y, et al. Adaptive Region-Specific Loss for Improved Medical Image Segmentation.☆12Updated 5 months ago
- [MICCAI 2021 Challenge] The official baseline model for MICCAI Challenge: Fast and Low GPU memory Abdominal oRgan sEgmentation (FLARE21)☆41Updated last year
- A deep learning-based fully unsupervised method for cardiac tagging MRI motion tracking.☆54Updated 10 months ago
- pytorch version of medical image reconstruction baseline models (UNet and GAN)☆39Updated 6 years ago
- Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published p…☆92Updated 3 years ago
- 3d medical image preprocessing, supports conversion between nifiti data and h5py data, dicom2nii, crop 3d patch, extract 3d roi...☆26Updated 2 years ago
- Retinal Vessel Segmentation based on Fully Convolutional Networks☆34Updated 4 years ago
- [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation☆53Updated 3 years ago
- Code for Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Wei…☆20Updated 4 years ago
- 3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)☆69Updated 4 months ago
- A module for 3D image augmentations for deep learning, specifically medical images such as CT, MRI.☆27Updated 4 years ago
- Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis [ISBI'20]☆17Updated 4 years ago
- ☆32Updated 5 years ago