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System and methods for automatic polyp detection using convulutional neural networks
专利权人:
ARIZONA BOARD OF REGENTS on Behalf of Arizona State University;MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH
发明人:
Nima Tajbakhsh,Suryakanth R. Gurudu,Jianming Liang
申请号:
US15562088
公开号:
US10055843B2
申请日:
2016.03.31
申请国别(地区):
US
年份:
2018
代理人:
摘要:
A system and methods for detecting polyps using optical images acquired during a colonoscopy. In some aspects, a method includes receiving the set of optical images from the input and generating polyp candidates by analyzing the received set of optical images. The method also includes generating a plurality of image patches around locations associated with each polyp candidate, applying a set of convolutional neural networks to the corresponding image patches, and computing probabilities indicative of a maximum response for each convolutional neural network. The method further includes identifying polyps using the computed probabilities for each polyp candidate, and generating a report indicating identified polyps.
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