Invention Grant
- Patent Title: Generating final abnormality data for medical scans based on utilizing a set of sub-models
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Application No.: US17656925Application Date: 2022-03-29
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Publication No.: US11922348B2Publication Date: 2024-03-05
- Inventor: Kevin Lyman , Li Yao , Eric C. Poblenz , Jordan Prosky , Ben Covington , Anthony Upton
- Applicant: Enlitic, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Enlitic, Inc.
- Current Assignee: Enlitic, Inc.
- Current Assignee Address: US CO Fort Collins
- Agency: Cochran Freund & Young LLC
- Main IPC: G16H50/20
- IPC: G16H50/20 ; A61B5/00 ; G06F3/0482 ; G06F3/0484 ; G06F9/54 ; G06F16/245 ; G06F18/21 ; G06F18/2115 ; G06F18/214 ; G06F18/2415 ; G06F18/40 ; G06F21/62 ; G06N5/04 ; G06N5/045 ; G06N20/00 ; G06N20/20 ; G06Q10/0631 ; G06Q20/14 ; G06T3/40 ; G06T5/00 ; G06T5/50 ; G06T7/00 ; G06T7/10 ; G06T7/11 ; G06T7/187 ; G06T7/44 ; G06T11/00 ; G06T11/20 ; G06V10/22 ; G06V10/25 ; G06V10/764 ; G06V10/82 ; G06V30/19 ; G06V40/16 ; G16H10/20 ; G16H10/60 ; G16H15/00 ; G16H30/20 ; G16H30/40 ; G16H40/20 ; H04L67/01 ; H04L67/12 ; A61B5/055 ; A61B6/00 ; A61B6/03 ; A61B8/00 ; G06F18/2111 ; G06F18/24 ; G06F40/295 ; G06Q50/22 ; G06T7/70 ; G06V30/194 ; G16H50/30 ; G16H50/70

Abstract:
A multi-model medical scan analysis system is operable to generate a plurality of training sets from a plurality of medical scans. Each of a set of sub-models is generated by performing a training step on a corresponding one of the plurality of training sets of the plurality of medical scans. A set of abnormality data is generated by applying a subset of a set of inference functions on a new medical scan. The subset of the set of inference functions utilize the subset of the set of sub-models, and each of the set of abnormality data is generated as output of performing one of the subset of the set of inference functions. The multi-model medical scan analysis system is further operable to generate final abnormality data that includes a global probability indicating a probability that any abnormality is present based on the set of abnormality data.
Public/Granted literature
- US20220223243A1 GENERATING FINAL ABNORMALITY DATA FOR MEDICAL SCANS BASED ON UTILIZING A SET OF SUB-MODELS Public/Granted day:2022-07-14
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