Deep-Learning-Based Visualization and Volumetric Analysis of Fluid Regions in Optical Coherence Tomography Scans

Deep-Learning-Based Visualization and Volumetric Analysis of Fluid Regions in Optical Coherence Tomography Scans

Retinal volume computation is one of the critical steps in grading pathologies and evaluating the response to a treatment. We propose a deep-learning-based visualization tool to calculate the fluid volume in retinal optical coherence tomography (OCT) images. The pathologies under consideration are I...

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Bibliographic Details
Main Authors: Harishwar Reddy Kasireddy, Udaykanth Reddy Kallam, Sowmitri Karthikeya Siddhartha Mantrala, Hemanth Kongara, Anshul Shivhare, Jayesh Saita, Sharanya Vijay, Raghu Prasad, Rajiv Raman, Chandra Sekhar Seelamantula
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Diagnostics
Subjects:
optical coherence tomography
deep learning
visualization
classification
fluid volume computation
Online Access:https://www.mdpi.com/2075-4418/13/16/2659

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https://www.mdpi.com/2075-4418/13/16/2659

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