Unified Training Data Collection for Endoscopic Image Analysis

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Solution Overview

Problem

Collecting vast amounts of training data for endoscopic image analysis is labor-intensive, requiring significant effort to acquire and associate endoscopic images with corresponding diagnosis information for AI model training.

Innovation Solution

A training data collection apparatus and method that displays endoscopic images and diagnosis information on a device, allowing users to select and associate images with diagnosis information using tabs, and record the data for model training, facilitating efficient data grouping and selection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If a vast amount of training data is collected manually from multiple systems, then the quality and quantity of training data improve, but the time and labor required for data collection increases significantly

Engineering Contradiction:

Improvetraining data quantityVSAvoiddata collection time

Core Design Contradiction:

Quantity of substanceVSLoss of time

Solution Approach 1:

The patent merges endoscopic images and diagnosis information that were stored in separate systems (endoscopy management system, endoscopy filing system) into a unified training data set. The data collection apparatus integrates multiple data sources and associates images with diagnosis information through a single interface, eliminating the need to manually collect from separate systems and significantly reducing data collection time while maintaining comprehensive training data quantity

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a data collection apparatus as an intermediary between existing endoscopy systems and the AI training process. This apparatus includes a display control unit that presents endoscopic images and diagnosis information in a unified interface, allowing automatic association and recording of training data. The intermediary tool streamlines the data extraction process from multiple sources without requiring manual intervention for each data point

Inventive Principle:

Principle #24Intermediary (Mediator)

2Quantity of substance

If endoscopic images and diagnosis information are collected from multiple separate systems, then comprehensive training data is obtained, but the complexity of data acquisition and format conversion increases

Engineering Contradiction:

Improvetraining data completenessVSAvoiddata acquisition complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent creates a universal data collection apparatus that can access and process endoscopic images and diagnosis information from multiple different systems (endoscopy management system, endoscopy filing system) through a single unified interface. The apparatus performs multiple functions including displaying images, presenting diagnosis information, associating data pairs, and recording training data, thereby reducing acquisition complexity while maintaining comprehensive training data coverage

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If manual selection and association of endoscopic images with diagnosis information is performed, then data accuracy is maintained, but the workload and time required for data preparation increases

Engineering Contradiction:

Improvedata association accuracyVSAvoiddata preparation efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent implements a self-service data association mechanism where the display control unit presents endoscopic images and diagnosis information in a structured format, and the data collection apparatus automatically records associated pairs once the user selects them. This automated recording process eliminates manual data entry and format conversion tasks, maintaining data association accuracy while significantly improving data preparation efficiency by reducing repetitive manual work

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11776692B2Training data collection apparatus, training data collection method, program, training system, trained model, and endoscopic image processing apparatus

Publication Date: 2023.10.03 FUJIFILM CORP

AI summary

Provided are a training data collection apparatus, a training data collection method, and a program that easily collect training data for use in training of a model that discriminates a lesion from an endoscopic image, a training system, a trained model, and an endoscopic image processing apparatus. Endoscopic images are associated with respective pieces of findings-diagnosis information. When the endoscopic images and the respective piece of findings-diagnosis information that are associated with each other are recorded in a recording apparatus as training data for use in training of a model that discriminates a lesion from an endoscopic image, the endoscopic images associated with the respective pieces of findings-diagnosis information are classified into corresponding groups of the respective pieces of findings-diagnosis information. The endoscopic images are displayed and switched on a group-by-group basis by using tabs.