Digestive endoscopy simulator inspection quality evaluation method and system

A technology of digestive endoscopy and simulators, which is applied to instruments, character and pattern recognition, biological neural network models, etc., to improve the efficiency and accuracy of evaluation and improve the operation level

Pending Publication Date: 2021-12-07
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a digestive endoscope that integrates various indicators such as inspection coverage rate, detection rate of key parts, inspection time, operation technique, pathological diagnosis, etc.

Method used

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  • Digestive endoscopy simulator inspection quality evaluation method and system
  • Digestive endoscopy simulator inspection quality evaluation method and system
  • Digestive endoscopy simulator inspection quality evaluation method and system

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Experimental program
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Embodiment 1

[0048] This embodiment 1 provides an evaluation system for the operation level of a digestive endoscopy simulator, which includes:

[0049] The recognition module is used to use the pre-trained classification recognition model to process the images acquired during the digestive endoscopy process and identify the inspection site;

[0050] The first calculation module is used to calculate the evaluation index according to the identified inspection site; wherein, the evaluation index includes inspection coverage, detection rate of key parts, inspection time, operation technique score and case diagnosis accuracy;

[0051] The second calculation module is used to perform fusion weighted calculation on the inspection coverage rate, detection rate of key parts, inspection time, operation technique score and case diagnosis accuracy rate to obtain the final operation score;

[0052] The judging module is used for judging the operation level according to the final operation score. The ...

Embodiment 2

[0072] This embodiment 2 provides a method for evaluating the operation level of a digestive endoscope simulator, the method comprising:

[0073] Use the pre-trained classification recognition model to process the images acquired during digestive endoscopy to identify the inspection site;

[0074] Calculate the evaluation index according to the identified inspection site; wherein, the evaluation index includes inspection coverage, detection rate of key parts, inspection time, operation technique score, and case diagnosis accuracy;

[0075] Fusion and weighted calculation is performed on the inspection coverage rate, detection rate of key parts, inspection time, operation technique score and case diagnosis accuracy to obtain the final operation score;

[0076] According to the final operation score, determine the level of operation.

[0077] In Embodiment 2, the pre-trained classification and recognition model is trained from a training set; the training set includes a plurali...

Embodiment 3

[0093] In this embodiment 3, a deep learning-based intelligent evaluation method for the operation and inspection quality of a digestive endoscope simulator is provided. From the coverage of gastroscopy (comprehensive evaluation), the detection rate of key parts (accuracy evaluation), the time of gastroscopy (rapid evaluation), the operation method of gastroscopy (standard evaluation), and pathological diagnosis, multimodal fusion algorithm learning and Predict and evaluate the user's operation level; in addition, record the user's historical operation level, draw the historical learning curve, and evaluate the user's operation learning level.

[0094] The gastroscopy coverage rate is to classify the representative pictures of various parts of the stomach taken by the user through the DCNN picture classification model, and calculate the number of observed parts and the loss rate of each part.

[0095] The coverage rate of the gastroscopy is specifically defined as: the ratio o...

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Abstract

The invention provides a digestive endoscope simulator operation level evaluation method and system, and belongs to the technical field of medical equipment. The method comprises the following steps: processing an image obtained in a digestive endoscopy process by utilizing a pre-trained classification identification model, identifying an examined part, and calculating an evaluation index, wherein the evaluation indexes comprise an examination coverage rate, a key part detection rate, examination time, an operation technique score and case diagnosis accuracy; performing fusion weighting calculation on each evaluation index to obtain a final operation score; and judging the operation level according to the final operation score. According to the method, multiple indexes such as the inspection coverage rate, the key part detection rate and the inspection time are fused, the user operation level can be objectively evaluated, and the evaluation efficiency and accuracy are improved; therefore, the operation level is quantitatively expressed, so that the doctors are helped to comprehensively and accurately understand various operation levels of operators, reasonable guidance is given, the operators are helped to understand defects in operation, and the operation level is improved corresondingly.

Description

technical field [0001] The invention relates to the technical field of medical equipment, in particular to a method and system for evaluating the quality of a digestive endoscope simulator inspection. Background technique [0002] Endoscopic examination is the most commonly used tool to find gastrointestinal lesions. Endoscopic examination requires manual operation by physicians, and subjective judgment of whether there is a lesion is made based on the examined images. Different doctors have different experiences and levels, resulting in different inspection quality or inaccurate inspection results. It is of great significance to effectively evaluate the physician's endoscopic examination operation level to improve the quality of endoscopic examination. [0003] At present, the existing quality control measures for digestive endoscopy include spot checks by expert groups, manual investigations, and self-reporting by hospitals, etc., which cannot achieve a comprehensive asse...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/32G06K9/62G06N3/04
CPCG06T7/0012G06T2207/10068G06T2207/30168G06T2207/30241G06N3/045G06F18/254G06F18/214
Inventor 刘治李真孙保林
Owner SHANDONG UNIV
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