Invention Grant
- Patent Title: Method and system for detecting chest x-ray thoracic diseases utilizing multi-view multi-scale learning
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Application No.: US16862462Application Date: 2020-04-29
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Publication No.: US11416994B2Publication Date: 2022-08-16
- Inventor: Feng Gao , Hao-Yu Yang , Youbing Yin , Yue Pan , Xin Wang , Junjie Bai , Yi Wu , Kunlin Cao , Qi Song
- Applicant: CURACLOUD CORPORATION
- Applicant Address: US WA Seattle
- Assignee: CURACLOUD CORPORATION
- Current Assignee: CURACLOUD CORPORATION
- Current Assignee Address: US WA Seattle
- Agency: Bayes PLLC
- Main IPC: G06T7/00
- IPC: G06T7/00

Abstract:
Embodiments of the disclosure provide systems and methods for biomedical image analysis. A method may include receiving a plurality of unannotated biomedical images, including a first image and a second image. The method may also include determining that the first image is in a first view and the second image is in a second view. The method may further include assigning the first image to a first processing path for the first orientation. The method may additionally include assigning the second image to a second processing path for the second view. The method may also include processing the first image in the first processing path in parallel with processing the second image in the second processing path. The first path may share processing parameters with the second path. The method may further include providing a diagnostic output based on the processing of the first image and the second image.
Public/Granted literature
- US20200349706A1 METHOD AND SYSTEM FOR DETECTING CHEST X-RAY THORACIC DISEASES UTILIZING MULTI-VIEW MULTI-SCALE LEARNING Public/Granted day:2020-11-05
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