Invention Grant
- Patent Title: Methods and apparatus for HILN determination with a deep adaptation network for both serum and plasma samples
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Application No.: US17278285Application Date: 2019-09-19
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Publication No.: US11852642B2Publication Date: 2023-12-26
- Inventor: Venkatesh NarasimhaMurthy , Vivek Singh , Yao-Jen Chang , Benjamin S. Pollack , Ankur Kapoor
- Applicant: Siemens Healthcare Diagnostics Inc.
- Applicant Address: US NY Tarrytown
- Assignee: Siemens Healthcare Diagnostics Inc.
- Current Assignee: Siemens Healthcare Diagnostics Inc.
- Current Assignee Address: US NY Tarrytown
- International Application: PCT/US2019/052012 2019.09.19
- International Announcement: WO2020/061369A 2020.03.26
- Date entered country: 2021-03-19
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G01N35/00 ; G06F18/2431 ; G06V10/764 ; G06V10/82

Abstract:
A method of characterizing a serum or plasma portion of a specimen in a specimen container provides an HILN (hemolysis, icterus, lipemia, normal) determination. Pixel data of an input image of the specimen container is processed by a classification network to identify whether the specimen contains plasma or serum. Pixel data representing a plasma sample are forwarded to a segmentation/classification/regression network trained with plasma samples for HILN determination. Pixel data representing a serum sample are forwarded to a transformation network, wherein the serum sample pixel data is transformed into pixel data that matches pixel data of a corresponding previously-collected plasma sample by changing sample color, contrast, intensity, and/or brightness. The transformed serum sample pixel data are forwarded to the segmentation/classification/regression network for HILN determination. Quality check modules and testing apparatus configured to carry out the method are also described, as are other aspects.
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