aming's repositories
os-workbench
NJU 操作系统: 设计与实现
AngioNet
Semantic segmentation network for X-ray angiography images, based on Deeplabv3+
CA-Net
Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
ContrastiveSeg
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
DeepAtlas
Joint Semi-supervised Learning of Image Registration and Segmentation
DeepAttnMISL
Contains codes of DeepAttnMISL in MEDIA'20
DeepSeeNet
:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.
domain_specific_cl
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
GALD-DGCNet
Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)
GFS-Seg
The official implementation of Generalized Few-shot Semantic Segmentation (CVPR 2022)
GLIA-Net
A segmentation network for intracranial aneurysm on CTA images using pytorch
Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
IPNV2_pytorch
This is an pytorch implementation of "IPN-V2 and OCTA-500: Methodology and Database for Retinal Image Segmentation".
Livelayer-Software
A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images
MTLC-Net
MTLC-Net
MVTec-Anomaly-Detection
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
OCT-Biomarker-Segmentation
Source code: Deep learning framework (RASP-Net) for segmentation and quantification of chorioretinal biomarkers in OCT scans
oct_preprocess
OCT preprocessing: Fully Convolutional Boundary Regression for Retina OCT Segmentation
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))
SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
SimCLR-1
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Unsupervised_Anomaly_Detection_Brain_MRI
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study