公开(公告)号：US20240281979A1

公开(公告)日：2024-08-22

申请号：US18438152

申请日：2024-02-09

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Patrick SCHREMPF ,  Hamish MACKINNON ,  Alison O'NEIL

IPC: G06T7/11 ,  G06F40/284 ,  G06T7/00 ,  G16H30/40

CPC classification number: G06T7/11 ,  G06F40/284 ,  G06T7/0012 ,  G16H30/40 ,  G06T2207/20081 ,  G06T2207/20092 ,  G06T2207/30016 ,  G06T2207/30096

Abstract: A medical image processing apparatus comprises processing circuitry configured to:



receive medical image data for processing;
receive text data including clinical information relating to the medical image data;
specify based on the text data a target processing region of the medical image data or of a space. derived from the medical image data; and
process at least the specified target processing region of the medical image data or of a space derived from the medical image data.

公开(公告)号：US20220270721A1

公开(公告)日：2022-08-25

申请号：US17450339

申请日：2021-10-08

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Patrick SCHREMPF ,  Alison O'NEIL ,  Hannah WATSON

IPC: G16H10/60 ,  G06F40/186

Abstract: A medical information processing apparatus is for processing medical text data using a medical text processing model. The apparatus comprising processing circuitry configured to: receive a portion of medical text data; determine a template corresponding to the portion of medical text data, a classification label associated with the template, and a first medical term included in the portion of medical text data; specify a second medical term which is different from the first medical term, wherein the second medical term is related to the first medical term; and generate synthetic text data based on the second term by inserting the second medical term into the template.

公开(公告)号：US20210225508A1

公开(公告)日：2021-07-22

申请号：US16749395

申请日：2020-01-22

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Owen ANDERSON ,  Aneta LISOWSKA ,  Alison O'NEIL

IPC: G16H50/20 ,  G06N3/08 ,  G16H30/40

Abstract: A medical system comprises processing circuitry configured to: receive a first trained model, wherein the trained model has been trained using a first data set acquired in a first cohort; receive a second data set acquired in a second cohort; input data included in the second data set and data representative of the first trained model into a second trained model; and receive from the second trained model an affinity-relating value which represents an affinity between the data included in the second data set and the first trained model.

公开(公告)号：US20240282084A1

公开(公告)日：2024-08-22

申请号：US18581231

申请日：2024-02-19

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Francesco Dalla SERRA ,  Alison O'NEIL ,  Chaoyang WANG

IPC: G06V10/774 ,  G06T7/00 ,  G06V10/22 ,  G06V10/80 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/774 ,  G06T7/0016 ,  G06V10/235 ,  G06V10/806 ,  G06V10/82 ,  G06V20/70 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/03

Abstract: A data processing apparatus configured to train an image analysis model to perform a task relating to input data which includes at least image data, wherein the data processing apparatus comprises processing circuitry configured to:



receive the input data;
generate image tokens for inputting to the image analysis model by applying a visual extractor model that is trained to identify an anatomical region included in the image data which is comprised in the input data and to determine a label relating to a pre-determined sub-task relating to said anatomical region; and
train the image analysis model by inputting at least the image tokens.

公开(公告)号：US20220067074A1

公开(公告)日：2022-03-03

申请号：US17011363

申请日：2020-09-03

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Alison O'NEIL ,  Matus FALIS

IPC: G06F16/31 ,  G06K9/62 ,  G06F16/332 ,  G06N3/08 ,  G06F40/247

Abstract: An apparatus for medical text processing comprises processing circuitry configured to: obtain a trained model, wherein the trained model is trained to classify medical text documents with a medical classification code; apply the trained model to at least one medical text document to obtain weightings for text terms included in the at least one medical text document, wherein the weightings are associated with the medical classification code; and use the weightings to perform a searching or indexing process.

公开(公告)号：US20250104878A1

公开(公告)日：2025-03-27

申请号：US18891490

申请日：2024-09-20

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Joseph S. BOYLE ,  Alison O'NEIL

IPC: G16H70/20 ,  G06F40/14 ,  G06F40/40

Abstract: A data processing apparatus for obtaining an output corresponding to a medical text input, the apparatus comprises processing circuitry configured to: provide a medical text input, or data derived from the medical text input, to a trained model; provide instructions to the trained model to repeatedly assess layers of a hierarchical ontology that comprises a plurality of nodes at each of a plurality of layers, thereby to determine path(s) through the layers via node(s) in successive layers that are connected according to the hierarchical ontology and that match the medical text input; select at least one node from the node(s) at the end or other point(s) of the determined path(s), or select no nodes if there are no suitable matches of the medical text input to nodes; and output text, or other data, associated with the selected at least one node.

公开(公告)号：US20240055106A1

公开(公告)日：2024-02-15

申请号：US17819116

申请日：2022-08-11

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Hannah WATSON ,  Alison O'NEIL ,  Hamish MACKINNON

IPC: G16H40/20 ,  G16H10/60

CPC classification number: G16H40/20 ,  G16H10/60

Abstract: A medical information processing system for processing medical data relating to a target patient comprises a memory storing a knowledge base, wherein the knowledge base is based on medical knowledge; and processing circuitry configured to receive trigger information; and determine a necessity of alerting relating to the trigger information based on the trigger information and the knowledge base.

公开(公告)号：US20210279863A1

公开(公告)日：2021-09-09

申请号：US16992466

申请日：2020-08-13

Applicant: The University Court of the University of Edinburgh ,  CANON MEDICAL SYSTEMS CORPORATION

Inventor： Grzegorz JACENKÓW ,  Sotirios TSAFTARIS ,  Brian MOHR ,  Alison O'NEIL ,  Aneta LISOWSKA

IPC: G06T7/00

Abstract: A medical image data processing apparatus comprises processing circuitry configured to: receive medical image data in respect of at least one subject; receive non-image data; generate a filter based on the non-image data; and apply the filter to the medical image data, wherein the filter is configured to limit a region of the medical image data.

公开(公告)号：US20230070715A1

公开(公告)日：2023-03-09

申请号：US17447229

申请日：2021-09-09

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Maciej PAJAK ,  Alison O'NEIL ,  Hannah WATSON

IPC: G06F40/284 ,  G06F40/30 ,  G06N5/02

Abstract: A medical information processing apparatus comprises: a memory which stores a plurality of semantic ranking values for a plurality of medical terms, wherein each of the semantic ranking values relates to a degree of semantic similarity between a respective pair of the medical terms; and processing circuitry configured to train a model based on the semantic ranking values, wherein the model comprises a respective vector representation for each of the medical terms.

公开(公告)号：US20220147768A1

公开(公告)日：2022-05-12

申请号：US17524083

申请日：2021-11-11

Applicant: The University Court of the University of Edinburgh ,  CANON MEDICAL SYSTEMS CORPORATION

Inventor： Spyridon THERMOS ,  Sotirios TSAFTARIS ,  Alison O'NEIL

IPC: G06K9/62 ,  G06T7/00 ,  G06N3/04

Abstract: An image data processing apparatus comprises processing circuitry configured to: receive first medical image data; obtain a first image feature data set from the first medical image data; obtain a second image feature data set from second medical image data and/or from stored image feature data; obtain style data; and generate synthesized image data based on the first image feature data set, the second image feature data set, and the style data.