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Machine-learning based segmentation of the optic nerve head using multi-contrast Jones matrix optical coherence tomography with semi-automatic training dataset generation

A pixel-by-pixel tissue classification framework using multiple contrasts obtained by Jones matrix optical coherence tomography (JM-OCT) is demonstrated. The JM-OCT is an extension of OCT that provides OCT, OCT angiography, birefringence tomography, degree-of-polarization uniformity tomography, and...

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Detaylı Bibliyografya
Yayımlandı:Biomed Opt Express
Asıl Yazarlar: Kasaragod, Deepa, Makita, Shuichi, Hong, Young-Joo, Yasuno, Yoshiaki
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Optical Society of America 2018
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6033556/
https://ncbi.nlm.nih.gov/pubmed/29984095
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.9.003220
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