JP2020089710A5

JP2020089710A5 -

Info

Publication number: JP2020089710A5
Application number: JP2019100647A
Authority: JP
Filing date: 2019-05-29
Publication date: 2021-01-14
Anticipated expiration: 2039-05-29

Description

情報処理装置は、内視鏡画像を取得する画像取得部と、病変領域の内視鏡画像が入力された場合に疾病の診断基準に関する診断基準予測を出力する第１モデルに、前記画像取得部が取得した内視鏡画像を入力して、出力される診断基準予測を取得する第１取得部と、前記第１取得部が取得した診断基準予測を、前記内視鏡画像に基づいて取得した前記疾病の状態に関する診断予測と関連づけて出力する出力部とを備え、前記診断予測は、内視鏡画像が入力された場合に前記疾病が含まれる病変領域に関する領域予測を出力する第２モデルに、前記画像取得部が取得した内視鏡画像を入力して、出力された病変領域に関する領域予測であり、前記第１取得部は、前記画像取得部が取得した内視鏡画像のうち前記第２モデルから出力された領域予測に対応する部分を前記第１モデルに入力して、出力される診断基準予測を取得する。 The information processing apparatus includes an image acquisition unit that acquires an endoscopic image and a first model that outputs a diagnostic standard prediction regarding a diagnostic standard of a disease when an endoscopic image of a lesion area is input. The first acquisition unit that inputs the endoscopic image acquired by the patient and acquires the output diagnostic standard prediction, and the diagnostic standard prediction acquired by the first acquisition unit are acquired based on the endoscopic image. It is provided with an output unit that outputs in association with the diagnosis prediction regarding the state of the disease, and the diagnosis prediction is a second model that outputs the area prediction regarding the lesion area including the disease when an endoscopic image is input. , The endoscopic image acquired by the image acquisition unit is input and the area is predicted regarding the output lesion region, and the first acquisition unit is the first of the endoscopic images acquired by the image acquisition unit. The portion corresponding to the region prediction output from the two models is input to the first model, and the output diagnostic reference prediction is acquired.

Claims

An image acquisition unit that acquires endoscopic images,
Diagnostic criteria output by inputting the endoscopic image acquired by the image acquisition unit into the first model that outputs the diagnostic criteria prediction regarding the diagnostic criteria of the disease when the endoscopic image of the lesion area is input. The first acquisition part to acquire the forecast and
It is provided with an output unit that outputs the diagnostic reference prediction acquired by the first acquisition unit in association with the diagnostic prediction regarding the state of the disease acquired based on the endoscopic image .
The diagnostic prediction is output by inputting the endoscopic image acquired by the image acquisition unit into the second model that outputs the area prediction regarding the lesion region including the disease when the endoscopic image is input. Area prediction for the affected lesion area
The first acquisition unit is output from the second model of the endoscopic images acquired by the image acquisition unit.
Diagnostic criteria prediction output by inputting the part corresponding to the forceed area prediction into the first model
Information processing device to acquire .

The information processing according to claim 1, wherein the first acquisition unit acquires diagnostic standard predictions for each item from a plurality of first models that output diagnostic standard predictions for a plurality of items included in the diagnostic criteria for the disease. apparatus.

The information processing device according to claim 1 or 2, wherein the first model is a learning model generated by machine learning.

The information processing device according to claim 1 or 2, wherein the first model outputs a numerical value calculated based on an endoscopic image acquired by the image acquisition unit.

The information processing apparatus according to any one of claims 1 to 4, further comprising a first reception unit that receives an operation stop instruction of the first acquisition unit.

The second model is a learning model generated by machine learning.
The information processing device according to any one of claims 1 to 5 .

A second reception unit that receives an instruction to stop the acquisition of the diagnosis prediction is provided.
The information processing device according to any one of claims 1 to 6 .

The output unit also outputs an endoscopic image acquired by the image acquisition unit.
The information processing device according to any one of claims 1 to 7 .

The image acquisition unit acquires an endoscopic image taken during endoscopy in real time.
The information processing device according to any one of claims 1 to 8 , wherein the output unit outputs in synchronization with the acquisition of an endoscopic image by the image acquisition unit.

An endoscope connection unit to which an endoscope is connected, an image generation unit that generates an endoscope image based on an image signal acquired from an endoscope connected to the endoscope connection unit, and an image generation unit.
Diagnostic criteria output by inputting the endoscopic image acquired by the image generator into the first model that outputs the diagnostic criteria prediction regarding the diagnostic criteria of the disease when the endoscopic image of the lesion area is input. The first acquisition part to acquire the forecast and
It is provided with an output unit that outputs the diagnostic reference prediction acquired by the first acquisition unit in association with the diagnostic prediction regarding the state of the disease acquired based on the endoscopic image .
The diagnostic prediction is output by inputting the endoscopic image generated by the image generation unit into the second model that outputs the area prediction regarding the lesion region including the disease when the endoscopic image is input. Area prediction for the affected lesion area
The first acquisition unit is output from the second model of the endoscopic images generated by the image generation unit.
Diagnostic criteria prediction output by inputting the part corresponding to the forceed area prediction into the first model
To get an endoscope processor.

Get an endoscopic image and
When the endoscopic image is input, the acquired endoscopic image is input to the second model that outputs the area prediction for the lesion area including the disease, and the area prediction for the output lesion area is acquired.
First model for outputting the diagnostic criteria predictive diagnostic criteria for the disease if the endoscopic image of the lesion region is input, corresponding to the output region prediction from the second model of the endoscopic image acquired Enter the part to be output , get the output diagnostic criterion prediction,
An information processing method for executing the acquired diagnostic criteria predictive, acquisition was a process of outputting in association with the region predicted in the computer.

Get an endoscopic image and
When the endoscopic image is input, the acquired endoscopic image is input to the second model that outputs the area prediction for the lesion area including the disease, and the area prediction for the output lesion area is acquired.
First model for outputting the diagnostic criteria predictive diagnostic criteria for the disease if the endoscopic image of the lesion region is input, corresponding to the output region prediction from the second model of the endoscopic image acquired Enter the part to be output , get the output diagnostic criterion prediction,
The obtained the diagnostic criteria predictive, acquisition and said program for executing a process of outputting in association with domain prediction to a computer.