CONVOLUTIONAL NEURAL NETWORKS FOR CLASSIFICATION OF CANCER HISTOLOGICAL IMAGES

Techniques for classifying, using a deep learning model, histopathological whole slide images (WSIs) as comprising images of cancerous or non-cancerous tissue and/or as comprising images of cancerous tissue having a genetic mutation or not having a genetic mutation are described herein. The techniques include at least one processor configured to instantiate a container-based processing architecture to train and/or use the deep learning model to process and classify at least one WSI. In some embodiments, a treatment may be selected and administered based on a classification result obtained from the deep learning model..

Medienart:

Patent

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Europäisches Patentamt - (2023) vom: 20. Sept. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

CHUANG JEFFREY HSU-MIN [VerfasserIn]
NOORBAKHSH JAVAD [VerfasserIn]
FOROUGHI POUR ALI [VerfasserIn]
ZARRINGHALAM KOUROSH [VerfasserIn]
FARAHMAND SAMAN [VerfasserIn]
SOLTANIEH-HA MOHAMMAD [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

Sonstige Themen:
615
G06N: Computer systems based on specific computational mo (...)
G06T: Image data processing or generation, in general (...)
G16H: Healthcare informatics, i.e. information and commun (...)
inf

Anmerkungen:

Source: www.epo.org (no modifications made), First posted: 2023-09-20, Last update posted on www.tib.eu: 2024-04-02, Last updated: 2024-04-09

Patentnummer:

EP4000014

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

EPA00248014X