LI-RADS diagnostic report generation system and method based on artificial intelligence
A technology for diagnosis report and generation system, applied in medical reports, medical automatic diagnosis, image data processing, etc., can solve the problems of time-consuming, delayed patient treatment, misdiagnosis, etc., to speed up diagnosis, improve diagnosis accuracy, and avoid misdiagnosis. Effect
Inactive Publication Date: 2021-08-17
周敬洋
View PDF3 Cites 2 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, two modal data, CT and MRI, are required for diagnosis, and doctors are required to consider many diagnostic variables when observing CT and MRI images, which is a great workload for clinicians.
Moreover, the scoring process is often affected by many subjective factors, making it difficult to make a completely accurate diagnosis, ranging from misdiagnosis to delaying the treatment of patients and missing the best treatment time.
Moreover, the generation of LI-RADS diagnostic reports takes a lot of time and the working process is very mechanized
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
[0038] The present invention will be further explained below in conjunction with specific examples. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.
[0039] Such as Figure 1 to Figure 3 As shown, the artificial intelligence-based LI-RADS diagnosis report generation system of this embodiment includes an information collection module, an image collection module, a key frame acquisition module, an image recognition module, an image labeling module, a processing module and a report generation module.
[0040] The information collection module is used to collect the patient's identity information, which includes the patient's name, gender, age, height, weight, and past medical history.
[0041] The image acquisition module is used for acquiring medical imaging images of patients, and the medical imaging images include CT images and nuclear magnetic resonance images. ...
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 belongs to the technical field of artificial intelligence, and discloses an LI-RADS diagnostic report generation system and method based on artificial intelligence. The LI-RADS diagnostic report generation system comprises an information acquisition module, an image acquisition module, a key frame acquisition module, an image recognition module, an image marking module, a processing module and a report generation module. According to the LI-RADS diagnostic report generation method, the key frame image is recognized through the target detection model based on artificial intelligence, the size and the feature of the focus are obtained and then matched with the diagnosis table, the type of the focus can be obtained and presented on the diagnosis report, misdiagnosis caused by subjective factors of people is avoided, the diagnosis speed is increased, and the diagnosis accuracy is improved.
Description
technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an artificial intelligence-based LI-RADS diagnosis report generation system and method. Background technique [0002] Liver cancer is the only cancer that can be diagnosed only by imaging data, but in actual clinical diagnosis, only a small part of liver cancer (20%-30%) can be diagnosed only by MRI or CT, most Still need to do pathological section. LI-RADS (Liver Imaging Reporting and Data System), published by the American College of Radiology (ACR), is a comprehensive system designed to standardize liver imaging image acquisition, sign interpretation, reporting, and data collection. Since the release of the first version of LI-RADS in 2011, ACR has updated LI-RADS in 2013, 2014, 2017 and 2018. LI-RADS is based on CT and MRI images of liver cancer, combined with the identification of liver cancer lesion size and imaging features, to make a correspo...
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): G16H15/00G16H10/60G16H50/20G06T7/00
CPCG16H15/00G16H10/60G16H50/20G06T7/0012G06T7/97G06T2207/10081G06T2207/10088G06T2207/30056G06T2207/30096
Inventor 周敬洋
Owner 周敬洋