Real-time colorectal cancer diagnosis using PR-OCT with deep learning

Prior reports have shown optical coherence tomography (OCT) can differentiate normal colonic mucosa from neoplasia, potentially offering an alternative technique to endoscopic biopsy - the current gold-standard colorectal cancer screening and surveillance modality. To help clinical translation limit...

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Veröffentlicht in:	Theranostics Jg. 10; H. 6; S. 2587 - 2596
Hauptverfasser:	Zeng, Yifeng, Xu, Shiqi, Chapman, William C., Li, Shuying, Alipour, Zahra, Abdelal, Heba, Chatterjee, Deyali, Mutch, Matthew, Zhu, Quing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Australia Ivyspring International Publisher Pty Ltd 01.01.2020 Ivyspring International Publisher
Schlagworte:	Aged Aged, 80 and over Biopsy Classification Colon - diagnostic imaging Colorectal cancer Colorectal Neoplasms - diagnostic imaging Deep Learning Diagnosis, Computer-Assisted - methods Endoscopy Humans Image Processing, Computer-Assisted - methods Middle Aged Neural networks Noise Pattern recognition Research Paper Surveillance Tomography, Optical Coherence - methods Tumors deep learning colorectal cancer optical biopsy optical coherence tomography (OCT)
ISSN:	1838-7640, 1838-7640
Online-Zugang:	Volltext
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