Artificial intelligence capsule endoscopy examination method and system based on deep reinforcement learning

Abstract

The invention discloses an artificial intelligence capsule endoscopy examination method and an artificial intelligence capsule endoscopy examination system based on deep reinforcement learning. The method comprises the following steps: acquiring an image of the gastral cavity environment by adopting a capsule endoscopy, and extracting characteristic values of the image; inputting the characteristic values of the image into a pre-trained deep reinforcement learning model, thus obtaining maximum value movements capable of being executed; by utilizing the maximum value movements output by the deep reinforcement learning model, generating a corresponding control instruction according to the state of the capsule endoscopy, and controlling the capsule endoscopy to carry out autokinetic movementin the complicated gastral cavity environment; after the movements of the autokinetic movement are completed, acquiring a return value according to the actual completion status; and judging that whether the capsule endoscopy arrives at a final position or not. The method and the system aim at realizing the purposes that through training, the capsule endoscopy can make the correct decision in the complicated and high-dynamic gastral cavity environment, the capsule endoscopy can be controlled to carry out autokinetic movement in the complicated gastral cavity environment, and the examination forthe whole stomach is intelligently and efficiently realized without omission.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to an artificial intelligence capsule endoscopy method and system based on deep reinforcement learning. Background technique [0002] my country is a big country with stomach problems, especially gastric cancer, the morbidity and mortality have been high. In the prior art, endoscopy is of great significance in the diagnosis of digestive system diseases. [0003] As an invasive examination, the traditional electronic gastroscope will irritate the patient's throat, bring physiological discomfort to the patient, reduce the patient's compliance, and delay the early diagnosis of the disease; in addition, the doctor's operating level and experience are relatively high. High, it takes a long time to train an excellent digestive endoscopist doctor; at the beginning of the new century, capsule endoscopy came to the stage. Patients only need to swallow a small capsule, and they can go through...

AI Technical Summary

Problems solved by technology

However, the stomach is a hollow organ with a large volume, and the capsule endoscope passes through quickly, so it is difficult to take a complete image of the above-mentioned parts, and there are many observation blind spots; the magnetically controlled capsule endoscope is a kind of remote control that the doctor pushes the joystick to change. The external magnetic field is used to manipulate the diagnostic tool of intragastric capsule endoscopy to achieve small step length (2mm) translation and small angle (3°) rotation, which improves the integrity of gastric cavity examination and has been used in a few high-end physical examinations

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