Pinned Repositories
3D-Unet--Tensorflow
3D Unet for Isointense Infant Brain Image Segmentation
3D_DenseSeg
The implementation of 3D_DenseSeg for infant brain MRI segmentation
3Dunet_abdomen_cascade
ACT
Real-time 'Actor-Critic' tracking
AD3DMIL
Attention Based Deep 3D Multiple Instance Learning
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
adn
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Nuclei_Segmentation_Experiments_Demo
Overlapping nuclei segmentation using Deep Interval-Masker-Aware Networks and Marker-controlled Watershed
os-workbench
NJU 操作系统: 设计与实现
lxmwust's Repositories
lxmwust/os-workbench
NJU 操作系统: 设计与实现
lxmwust/AngioNet
Semantic segmentation network for X-ray angiography images, based on Deeplabv3+
lxmwust/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
lxmwust/Awesome-Medical-Dataset
Collection of awesome medical dataset resources.
lxmwust/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
lxmwust/CA-Net
Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
lxmwust/CE-Net
lxmwust/ContrastiveSeg
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
lxmwust/CoraNet
lxmwust/CS-Net
lxmwust/DeepAtlas
Joint Semi-supervised Learning of Image Registration and Segmentation
lxmwust/DeepSeeNet
:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.
lxmwust/domain_specific_cl
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
lxmwust/GALD-DGCNet
Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)
lxmwust/GFS-Seg
The official implementation of Generalized Few-shot Semantic Segmentation (CVPR 2022)
lxmwust/GLIA-Net
A segmentation network for intracranial aneurysm on CTA images using pytorch
lxmwust/lens-structure-segmentation
lxmwust/Livelayer-Software
A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images
lxmwust/MTLC-Net
MTLC-Net
lxmwust/MVTec-Anomaly-Detection
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
lxmwust/OCT-Biomarker-Segmentation
Source code: Deep learning framework (RASP-Net) for segmentation and quantification of chorioretinal biomarkers in OCT scans
lxmwust/OCTAve
Implementation for OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation (IEEE Transactions on Biomedical Engineering))
lxmwust/riscv-isa-manual-cn
lxmwust/SDV-LOAM
[TPAMI 2023] A cascaded vision-LiDAR odometry and mapping system
lxmwust/SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
lxmwust/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
lxmwust/SimCLR-1
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
lxmwust/springcloud-config
lxmwust/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
lxmwust/Unsupervised_Anomaly_Detection_Brain_MRI
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study