Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography

Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography

Optical coherence tomography (OCT) imaging enables high resolution visualization of sub-surface tissue microstructures. However, OCT image analysis using deep learning is hampered by limited diverse training data to meet performance requirements and high inference latency for real-time applications....

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Bibliographic Details
Main Authors: Haoyang Cui, Chen Wang, Paul Calle, Yunlong Liu, Qinghao Zhang, Sinaro Ly, Justin Reynolds, Feng Yan, Ke Zhang, Ronghao Liu, Junyuan Liu, Kar-Ming Fung, Zhongxin Yu, Ajay Jain, Qinggong Tang, Chongle Pan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
domain-specific
foundation model
lightweight
Octascope
OCT medical imaging
Online Access:https://ieeexplore.ieee.org/document/11113249/
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https://ieeexplore.ieee.org/document/11113249/

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