Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps

Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps

Retinal layer segmentation in optical coherence tomography (OCT) is essential for the diagnosis and follow-up of several diseases. Despite the success of deep learning approaches for this task, their clinical applicability is limited, since they neither account for pathologies other than those prese...

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Bibliographic Details
Main Authors: Guilherme Aresta, Teresa Araujo, Botond Fazekas, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Image segmentation
interactive annotation
deep learning
human-in-the-loop
optical coherence tomography
retina
Online Access:https://ieeexplore.ieee.org/document/10474349/

Internet

https://ieeexplore.ieee.org/document/10474349/

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