Automatic endoscope video image storage method based on artificial intelligence
A video image, artificial intelligence technology, applied in image enhancement, image analysis, image coding and other directions, can solve problems such as inconvenience for medical personnel to find and watch, large storage space, occupation, etc.
Pending Publication Date: 2021-09-14
SHANGHAI FIRST PEOPLES HOSPITAL
View PDF7 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Storing the video frames of the entire capsule endoscope video into the hospital database takes up a large storage space and is not convenient for medical personnel to search and watch
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0025] It should be noted that when a component is said to be "fixed" to another component, it can be directly on the other component or there can also be an intervening component. When a component is said to be "connected" to another component, it may be directly connected to the other component or there may be intervening components at the same time. When a component is said to be "set on" another component, it may be set directly on the other component or t...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to the technical field of medical image storage, and discloses an automatic endoscope video image storage method based on artificial intelligence, which comprises the following steps: S1, selecting a video frame from an endoscope video as a reference frame; S2, starting from the reference frame, comparing the similarity of two adjacent frames frame by frame forwards until two adjacent frames of which the similarity is lower than a similarity threshold appear, and selecting the next frame in the two adjacent frames which are compared finally as the first frame; S3, comparing the similarity of two adjacent frames backwards frame by frame from the reference frame until two adjacent frames of which the similarity is lower than a similarity threshold appear, and selecting the previous frame in the last compared two adjacent frames as a tail frame; S4, selecting all video frames from the head frame to the tail frame as target images; S5, constructing and training a convolutional neural network, and compressing the target image by using the convolutional neural network; and S6, storing the compressed target image. According to the method, the space occupied by the required video frame is reduced, and the space utilization rate of a memory is improved.
Description
technical field [0001] The invention relates to the technical field of medical image storage, in particular to an artificial intelligence-based automatic storage method for endoscope video images. Background technique [0002] Capsule endoscopic video inspection is a commonly used inspection method in gastrointestinal diseases. This method can visually display the gastrointestinal conditions of patients, and is non-invasive, reducing the pain of patients. Existing capsule endoscopy is usually performed by the patient swallowing the capsule endoscope through the patient's gastrointestinal peristalsis to make the capsule endoscope pass through the site to be inspected, and the captured video is sent to the electronic device wirelessly for medical treatment. These videos are generally several hours long, and a large part of them are not needed for diagnosis by medical personnel. When watching, medical personnel need to adjust the video to the fragments of the parts that need to...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/41G06T9/00G06T11/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/41G06T9/002G06T11/001G06N3/084G06T2207/10068G06T2207/20081G06T2207/20084G06T2207/30004G06N3/045G06F18/22
Inventor 俞晔方圆圆姜婷
Owner SHANGHAI FIRST PEOPLES HOSPITAL