Invention Grant
- Patent Title: Learning classifier for brain imaging modality recognition
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Application No.: US17602547Application Date: 2020-04-13
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Publication No.: US12254991B2Publication Date: 2025-03-18
- Inventor: Irina Sanchez , Matthew Rowe , Santiago Puch Giner
- Applicant: Mint Labs Inc.
- Applicant Address: US MA Boston
- Assignee: Mint Labs Inc.
- Current Assignee: Mint Labs Inc.
- Current Assignee Address: US MA Boston
- Agency: Foley Hoag LLP
- Agent John Lanza; Katherine L. Baker
- International Application: PCT/US2020/027986 WO 20200413
- International Announcement: WO2020/210826 WO 20201015
- Main IPC: G16H50/70
- IPC: G16H50/70 ; G06T7/00 ; G06V10/764 ; G06V10/77

Abstract:
Systems and methods for training a model for identifying an imaging modality. The systems and methods can be performed by a computer system having one or more processors and memory. A plurality of image vectors can be generated from first image data using a convolutional neural network. A loss function can be applied to each of the plurality of image vectors to produce an intermediate dataset. The intermediate dataset can be projected in a space having lower dimensional space that the intermediate dataset. A plurality of clusters can be identified from the intermediate dataset in the space using a clustering technique. Each of the plurality of clusters can be classified into one of a plurality of imaging modalities.
Public/Granted literature
- US20220189014A1 LEARNING CLASSIFIER FOR BRAIN IMAGING MODALITY RECOGNITION Public/Granted day:2022-06-16
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