Paper
19 July 2019 In vivo optical coherence tomography of a mouse model of spontaneous ovarian cancer
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Abstract
Ovarian cancer is the deadliest gynecologic cancer, but can be addressed with early detection. We investigate optical coherence tomography for imaging ovarian cancer, finding that tissue changes can be detected through quantitative analysis.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Travis W. Sawyer, Jennifer W. Koevary, Photini F. S. Rice, and Jennifer K. Barton "In vivo optical coherence tomography of a mouse model of spontaneous ovarian cancer", Proc. SPIE 11073, Clinical and Preclinical Optical Diagnostics II, 110731E (19 July 2019); https://doi.org/10.1117/12.2525611
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KEYWORDS
Optical coherence tomography

Ovarian cancer

In vivo imaging

Mouse models

Statistical analysis

Tissues

Image analysis

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