Invention Grant
- Patent Title: System and methods for automatic polyp detection using convulutional neural networks
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Application No.: US15562088Application Date: 2016-03-31
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Publication No.: US10055843B2Publication Date: 2018-08-21
- Inventor: Nima Tajbakhsh , Suryakanth R. Gurudu , Jianming Liang
- Applicant: MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH , ARIZONA BOARD OF REGENTS on Behalf of Arizona State University
- Applicant Address: US MN Rochester US AZ Scottsdale
- Assignee: Mayo Foundation for Medical Education and Research,Arizona Board of Regents on behalf of Arizona State University
- Current Assignee: Mayo Foundation for Medical Education and Research,Arizona Board of Regents on behalf of Arizona State University
- Current Assignee Address: US MN Rochester US AZ Scottsdale
- Agency: Quarles & Brady LLP
- International Application: PCT/US2016/025266 WO 20160331
- International Announcement: WO2016/161115 WO 20161006
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06T1/00 ; G06T7/40 ; A61B6/02

Abstract:
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.
Public/Granted literature
- US20180075599A1 SYSTEM AND METHODS FOR AUTOMATIC POLYP DETECTION USING CONVULUTIONAL NEURAL NETWORKS Public/Granted day:2018-03-15
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