深度学习能够对人类子宫进行全面的组织结构和纤维分析

Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN) Pub Date : 1900-01-01 DOI:10.1364/boda.2023.dtu3a.3

Aidan M. Therien, Jingpeng Hu, Shuyang Fang, K. Myers, C. Hendon

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引用次数: 0

摘要

高分辨率胶原纤维组织是评估子宫健康的主要指标。本研究建立了注册和缝合的超大OCT子宫体积胶原纤维取向分析的计算方法。

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Deep Learning enabled comprehensive tissue architecture and fiber analysis of the human uterus

High resolution collagen fiber organization is a prime metric for evaluating uterine health. In this research, computational methods for collagen fiber orientation analysis of registered and stitched ultra-large OCT uterine volumes were developed.

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Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)

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