CMS-NET: deep learning algorithm to segment and quantify the ciliary muscle in swept-source optical coherence tomography images

BACKGROUND: The ciliary muscle plays a role in changing the shape of the crystalline lens to maintain the clear retinal image during near work. Studying the dynamic changes of the ciliary muscle during accommodation is necessary for understanding the mechanism of presbyopia. Optical coherence tomogr...

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Detalles Bibliográficos
Autores principales: Chen, Wen, Yu, Xiangle, Ye, Yiru, Gao, Hebei, Cao, Xinyuan, Lin, Guangqing, Zhang, Riyan, Li, Zixuan, Wang, Xinmin, Zhou, Yuheng, Shen, Meixiao, Shao, Yilei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Artificial Intelligence related Optical Bioimaging markers in inflammatory and degenerative diseases
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017933/
https://www.ncbi.nlm.nih.gov/pubmed/36938499
http://dx.doi.org/10.1177/20406223231159616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017933/
https://www.ncbi.nlm.nih.gov/pubmed/36938499
http://dx.doi.org/10.1177/20406223231159616

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