Cargando…
ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence Tomography
Chromatic dispersion is a common problem to degrade the system resolution in optical coherence tomography (OCT). This study is to develop a deep learning network for automated dispersion compensation (ADC-Net) in OCT. The ADC-Net is based on a modified UNet architecture which employs an encoder-deco...
Autores principales: | Ahmed, Shaiban, Le, David, Son, Taeyoon, Adejumo, Tobiloba, Ma, Guangying, Yao, Xincheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024062/ https://www.ncbi.nlm.nih.gov/pubmed/35463032 http://dx.doi.org/10.3389/fmed.2022.864879 |
Ejemplares similares
-
Rotational Distortion and Compensation in Optical Coherence Tomography with Anisotropic Pixel Resolution
por: Ma, Guangying, et al.
Publicado: (2023) -
Functional Optical Coherence Tomography for Intrinsic Signal Optoretinography: Recent Developments and Deployment Challenges
por: Kim, Tae-Hoon, et al.
Publicado: (2022) -
An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography
por: Abtahi, Mansour, et al.
Publicado: (2023) -
Comparative Optical Coherence Tomography Angiography of Wild-Type and rd10 Mouse Retinas
por: Kim, Tae-Hoon, et al.
Publicado: (2018) -
Normalized Blood Flow Index in Optical Coherence Tomography Angiography Provides a Sensitive Biomarker of Early Diabetic Retinopathy
por: Dadzie, Albert K., et al.
Publicado: (2023)