Optical Coherence Tomography for Medical Diagnostics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 November 2021) | Viewed by 380
Special Issue Editor
Special Issue Information
Dear Colleagues,
Since its invention about 30 years ago, optical coherence tomography (OCT) has emerged as a powerful imaging modality. The technology revolutionized the field of ophthalmology, where OCT plays a critical role in the diagnosis and management of various retinal disorders. Although not as popular, OCT also adapted to dermatology, endoscopy, dentistry, and many other disciplines.
OCT became functional and multimodal in the quest to explain the pathology and physiology of several diseases and to search for new and strong biomarkers. Recently, the active development of machine and deep learning techniques has strongly supported and strengthened OCT’s capability for medical diagnostics.
In this Special Issue, we aim to highlight this recent progress in medical diagnostics involving OCT in any discipline, with a focus on (but not limited to) machine/deep learning assisted data analysis, image enhancement, image segmentation, and/or the use of multimodal OCT to better our understanding of disease physiology and pathology.
Dr. Richard Haindl
Guest Editor
Manuscript Submission Information
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Keywords
- optical coherence tomography
- multimodal imaging
- deep learning
- machine learning
- data analysis
- image segmentation
- image enhancement
- doppler OCT
- polarization sensitive OCT
- OCT angiography
- medical diagnostics
