Local quality assessment for optical coherence tomography
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4534844/4540908/04541015.pdf?arnumber=4541015
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Automated Image Quality Assessment for Anterior Segment Optical Coherence Tomograph;2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI);2023-04-18
2. Automated Hole and Non-hole Screening in Retinal OCT Images Using Local Binary Patterns with Support Vector Machine;National Academy Science Letters;2020-02-08
3. Deep convolutional network based on rank learning for OCT retinal images quality assessment;Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging;2019-03-15
4. Deep residual-network-based quality assessment for SD-OCT retinal images: preliminary study;Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment;2019-03-04
5. Complex wavelet based quality assessment for AS-OCT images with application to Angle Closure Glaucoma diagnosis;Computer Methods and Programs in Biomedicine;2016-07
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