WO2023062467 - DIAGNOSTIC IMAGING DEEP LEARNING SYSTEM AND METHOD
National phase entry is expected:
Publication Number
WO/2023/062467
Publication Date
20.04.2023
International Application No.
PCT/IB2022/059146
International Filing Date
26.09.2022
Title **
[English]
DIAGNOSTIC IMAGING DEEP LEARNING SYSTEM AND METHOD
[French]
SYSTÈME ET PROCÉDÉ D'APPRENTISSAGE PROFOND D'IMAGERIE DE DIAGNOSTIC
Applicants **
IMERA.AI LIMITED
Inventors
SIEBACHMEYER, Martin
JAIN, Jalaj
BODDU, Krishna
LAKKOL, Sandeshkumar Gangadharappa
Priority Data
63/254,480
11.10.2021
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
| * | |
| Number of Office Actions | * |
| * | |
International Searching Authority |
EPO
* |
| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
* |
| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Patent Delivery |
Send the Letters Patent by Courier
* |
| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2101 | |
| EPO | Filing, Examination, Granting | 8524 | |
| Japan | Filing, Examination, Granting | 2141 | |
| South Korea | Filing, Examination, Granting | 1995 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
19,501
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
A method includes receiving, by at least one processor, a diagnostic image, detecting, by the at least one processor using a pathology detection network, a primary pathology of the diagnostic image, locating, by the at least one processor using an anatomy network, at least one anatomical region of the diagnostic image, classifying, by the at least one processor using an attribute classification network, one or more attributes of the primary pathology, and generating, by the at least one processor, an output based on the primary pathology, the at least one anatomical region, and the one or more attributes.[French]
La présente invention concerne un procédé qui comprend les étapes consistant à recevoir, par au moins un processeur, une image de diagnostic, détecter, par le ou les processeurs à l'aide d'un réseau de détection de pathologie, une pathologie primaire de l'image de diagnostic, localiser, par le ou les processeurs à l'aide d'un réseau anatomique, au moins une région anatomique de l'image de diagnostic, classifier, par le ou les processeurs à l'aide d'un réseau de classification d'attributs, un ou plusieurs attributs de la pathologie primaire et générer, par le ou les processeurs, une sortie sur la base de la pathologie primaire, de la ou des régions anatomiques et du ou des attributs.