Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods

Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods

<italic>Goal:</italic> To predict physician fixations specifically on ophthalmology optical coherence tomography (OCT) reports from eye tracking data using CNN based saliency prediction methods in order to aid in the education of ophthalmologists and ophthalmologists-in-training. <ita...

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Bibliographic Details
Main Authors: Mingyang Zang, Pooja Mukund, Britney Forsyth, Andrew F. Laine, Kaveri A. Thakoor
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Deep learning
optical coherence tomography
saliency prediction
Online Access:https://ieeexplore.ieee.org/document/10440538/

Internet

https://ieeexplore.ieee.org/document/10440538/

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