Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification
Author:
Affiliation:
1. School of Computer Science, Wuhan University, Wuhan, China
2. School of Computer Science & Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China
Funder
National Key Research and Development Program of China
Science and Technology Major Project of Hubei Province in China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/10214206/10049536.pdf?arnumber=10049536
Reference51 articles.
1. Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging
2. Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy
3. Near-Histologic Resolution Images of Cervical Dysplasia Obtained With Gabor Domain Optical Coherence Microscopy
4. Detection of cervical intraepithelial neoplasia by using optical coherence tomography in combination with microscopy
5. Benchmarking automated detection of the retinal external limiting membrane in a 3D spectral domain optical coherence tomography image dataset of full thickness macular holes
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