Self-supervised Blind2Unblind deep learning scheme for OCT speckle reductions

Self-supervised Blind2Unblind deep learning scheme for OCT speckle reductions

As a low-coherence interferometry-based imaging modality, optical coherence tomography (OCT) inevitably suffers from the influence of speckles originating from multiply scattered photons. Speckles hide tissue microstructures and degrade the accuracy of disease diagnoses, which thus hinder OCT clinic...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính: Yu, Xiaojun, Ge, Chenkun, Li, Mingshuai, Yuan, Miao, Liu, Linbo, Mo, Jianhua, Shum, Perry Ping, Chen, Jinna
Tác giả khác: School of Electrical and Electronic Engineering
Định dạng: Journal Article
Ngôn ngữ:English
Được phát hành: 2023
Những chủ đề:
Engineering::Electrical and electronic engineering
Optical Coherence Tomography
Images
Truy cập trực tuyến:https://hdl.handle.net/10356/171481

Internet

https://hdl.handle.net/10356/171481

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