steventan0110 / OCT_preprocess
Python implementation of optical coherence tomography(OCT) data pre-process: 1.retina detection 2. OCT normalization 3. retina flatten
☆16Updated 5 years ago
Alternatives and similar repositories for OCT_preprocess:
Users that are interested in OCT_preprocess are comparing it to the libraries listed below
- Segmentation for retinal layers in OCT images thru thin-label supervised deep-learning☆14Updated 5 years ago
- Personal paper list on OCT segmentation☆27Updated 3 years ago
- Retinal Vessel Segmentation based on Fully Convolutional Networks☆34Updated 4 years ago
- [TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification☆48Updated last year
- Chechink the performance of different augmentation techniques on the BraTS 2020 data.☆23Updated 4 years ago
- ☆3Updated 4 years ago
- [MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network☆89Updated 2 years ago
- Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)☆80Updated 3 years ago
- Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.☆67Updated 2 years ago
- State-of-the-art retinal vessel segmentation with minimalistic models☆80Updated last year
- Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network☆52Updated 6 years ago
- Automatic Liver Segmentation of CT Volumes Using 2D Attention-UNet☆38Updated 5 years ago
- 2018 the IDRiD challenge sub1(hard exudates segmentation) using unet based on tensorlayer☆21Updated 5 years ago
- Comparison and fusion of deep learning and radiomics features of ground-glass nodules to predict the invasiveness risk of stage-I lung ad…☆17Updated 5 years ago
- 3D-Unet: patched based Pytorch implementation for medical images segmentation☆63Updated 3 years ago
- Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperf…☆66Updated 3 years ago
- Deep learning based retinal vessel segmentation for fluorescein angiography retinal images, IEEE Trans. Image Processing, 2020☆23Updated 4 years ago
- Automatic image (2D) and volume (3D) binary semantic segmentation of pancreas computed tomography (CT) using UNet architecture.☆45Updated 3 years ago
- [MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1…☆107Updated 3 years ago
- Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps☆42Updated 3 years ago
- CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)☆98Updated 2 years ago
- liver tumor segmentation(3d UNet) for LITS2017☆28Updated 3 years ago
- Pipeline for Lung Segmentation on the NSCLC Radiomics Dataset as part of the IEEE VIP 2018 Challenge☆16Updated 4 years ago
- IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmenta…☆92Updated 4 years ago
- PyTorch implementation of segmentation models for breast ultrasound images.☆33Updated 3 years ago
- This repo contains an implementation of the methods described in 'Deep iteratitive vessel segmentation in OCT angiography'☆22Updated 4 years ago
- HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation mas…☆23Updated this week
- Joint Learning of Vessel Segmentation and Artery/Vein Classification☆63Updated 4 years ago
- A curated list of awesome AI developments for ophthalmology☆19Updated 3 years ago
- Implementation of CycleGAN for unsupervised image segmentaion, performed on brain tumor scans☆49Updated 5 years ago