Deep learning for ophthalmology OCT
Deep learning in glaucoma with optical coherence tomography: a review
Full field OCT
After searching the OSA Publishing, pubmed, web of science and google scholar, I see the earliest paper related with full-field OCT appear in 2002 by Arnaud Dubois, and there are more than 200 related research papers. Among them I found two book chapters and one review paper, which review the progress of full-field OCT.
[1-1] Full Field Optical Coherence Microscopy: Imaging and Image Processing for Micro-Material Research Applications
[1-2] Full-Field Optical Coherence Tomography
[2-1] Full-Field Optical Coherence Tomography as a Diagnosis Tool: Recent Progress with Multimodal Imaging
OCT in glaucoma
It’s a good and important area, but only searching google scholar, I find many researchers have done reviews in this field recently (2020).
Macular Imaging for Glaucoma Using Spectral-domain Optical Coherence Tomography: A Review
Optical Coherence Tomography Angiography in Glaucoma: A Review
Optical coherence tomography angiography in glaucoma: a mini-review
Clinical and technical perspective of glaucoma detection using OCT and fundus images: a review
OCT in neurodegenerative diseases
Spectral-Domain OCT Measurements in Alzheimer’s Disease: A Systematic Review and Meta-analysis
Optical Coherence Tomography Angiography in Neurodegenerative Diseases: A Review
Optical coherence tomography as a biomarker for diagnosis, progression, and prognosis of neurodegenerative diseases
OCT in Alzheimer’s disease: thinning of the RNFL and superior hemiretina
Optical coherence tomography in the diagnostics of neurodegenerative diseases
OCT in age-related macular degeneration
It’s mainly about the detection and monitoring of AMD using OCT, still, I can find a bunch of review paper in this field.
Segmentation of ophthalmological OCT
Automatic choroid layer segmentation from optical coherence tomography images using deep learning
A review of algorithms for segmentation of optical coherence tomography from retina
Validation of automated artificial intelligence segmentation of optical coherence tomography images
Deep-learning based, automated segmentation of macular edema in optical coherence tomography
Deep learning based retinal OCT segmentation
Many methods have been utilized to segment macular OCT images, including deep learning, which is a quite hot area. If I focus on AI-based segmentation, I’m afraid that I might have to go deep into some neural networks. I’m not vey sure about this.
As a review paper, the scope should not be too narrow or broad. If I choose full-field OCT as my review topic, I might need to read related paper, and then narrow the topic a bit.