Tool for the surface annotation of retinal Optical Coherence Tomography (OCT) volumes
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Updated
Jul 31, 2019 - Python
Tool for the surface annotation of retinal Optical Coherence Tomography (OCT) volumes
This respository contains preprocessing steps taken while making a classifier for OCT - Optical Coherence Tomography - images of AMD and DME eye diseases.
[ICIP'20] [Tensorflow] Improving robustness using Joint Supervised-Unsupervised Network for OCT images
Optical Coherence Tomography Image Denoising via Multi-input Fully-Convolutional Networks
[ICMLA'19] [Tensorflow] Classifying different Retinal Diseases using Deep Learning from Optical Coherence Tomography Images
Polarization-sensitive optical coherence tomography
Code for optical coherence refraction tomography (OCRT)
fully convolutional network for automated dispersion compensation in OCT images
Implementation for OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation (IEEE Transactions on Biomedical Engineering))
Multimodal Fusion for Deep Learning for Artery-Vein Segmentation using OCT and OCTA. The implementation is using Python and TensorFlow.
Shared Encoder (SE) based Denoising of Optical Coherence Tomography Images
[TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification
Parametric scan patterns for laser scanning microscopy
A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images.
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