发明授权
- 专利标题: System and methods for automatic polyp detection using convulutional neural networks
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申请号: US15562088申请日: 2016-03-31
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公开(公告)号: US10055843B2公开(公告)日: 2018-08-21
- 发明人: Nima Tajbakhsh , Suryakanth R. Gurudu , Jianming Liang
- 申请人: MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH , ARIZONA BOARD OF REGENTS on Behalf of Arizona State University
- 申请人地址: US MN Rochester US AZ Scottsdale
- 专利权人: Mayo Foundation for Medical Education and Research,Arizona Board of Regents on behalf of Arizona State University
- 当前专利权人: Mayo Foundation for Medical Education and Research,Arizona Board of Regents on behalf of Arizona State University
- 当前专利权人地址: US MN Rochester US AZ Scottsdale
- 代理机构: Quarles & Brady LLP
- 国际申请: PCT/US2016/025266 WO 20160331
- 国际公布: WO2016/161115 WO 20161006
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06T7/00 ; G06T1/00 ; G06T7/40 ; A61B6/02
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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