Auf Maschinenlernen Basierende Auswertung von Lateral-Flow-Tests

Details

Veröffentlichungs-Nr.

EP4195162

Aktenzeichen

EP21213954

Anmeldetag

13. Dezember 2021

Veröffentlichung

9. April 2025

Erteilung

9. April 2025

Rechtsraum

EP

IPC

G06V10/25G06V10/82G06V10/10

Abstract

The present invention concerns computer-implemented methods for use in lateral flow test evaluation. One embodiment of such a method comprises obtaining, preferably by a mobile electronic device (110), a digital image (202) that depicts at least one test cassette (100), wherein the test cassette (100) comprises at least one viewport (102) and wherein the viewport (102) comprises at least one test indicator (104). The method may comprise performing, preferably by the mobile electronic device (110), an image segmentation step (204) to recognize at least one test indicator (104) depicted in the digital image (202), and performing an evaluation step (206) for producing at least one evaluation result (208) based, at least in part, on the recognized at least one test indicator (104). The image segmentation step (204) may comprise generating at least one object marker (306, 406, 506), in particular at least one mask and/or bounding box, based on a downscaled version of the obtained digital image (202) and applying the at least one object marker (306, 406, 506) to the obtained digital image (202) or to a part thereof.

Anmelder

Firma

Liftric GmbH

Land

🇩🇪 Deutschland

Fachgebiete