Computerimplementiertes Verfahren zur Identifizierung eines Mikroorganismus in einem Blut und Datenverarbeitungssystem dafür

Details

Veröffentlichungs-Nr.

EP4749582

Anmeldetag

20. November 2024

Veröffentlichung

27. Mai 2026

Rechtsraum

EP

Abstract

The present invention pertains to the computer implemented method for identifying a microorganism in a blood comprising: receiving (101) a microscopic image of a blood smear; detecting (102) plurality of microorganism cells in the microscopic image using a deep learning cellular segmentation model; extracting (103) from the segmented microscopic image a patch of size HxW centred around a centroid of the detected microorganism cell for each detected microorganism cell; encoding (104) of each patch by a deep neural network encoding model into a patch representation vector un of size 1×D; aggregating (105) the patch representation vectors u<n> using a pooling method to generate a sample representation vector u of size 1×D; and indicating (106) a species of microorganism present in the microscopic image by classifying the sample representation vector u by a multi-layer perceptron (MLP) classifier to class representing specific species. In another aspect the invention relates to the data processing system for carrying out the steps of the method according to the invention.

Anmelder

Firma

Uniwersytet Jagiellonski

Land

🇵🇱 Polen