Ultrasonic radiography characteristic automatic identification system and method based on artificial nerve network model
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
An artificial neural network and contrast-enhanced ultrasound technology, applied in the field of artificial neural network, can solve problems such as uncertainty, increased error rate, and inaccurate processing information
Inactive Publication Date: 2016-06-22
SHANGHAI TENTH PEOPLES HOSPITAL
View PDF5 Cites 14 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
In addition, the human visual system has inaccurate and uncertain defects in processing information, resulting in subjective differences in the recognition of CEUS features by different image analysts
In addition, when the number of recognition times is large, image analysts will inevitably experience visual fatigue, slow response, etc., and the error rate will increase.
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 more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0049] 1. Design of CAD system for liver contrast-enhanced ultrasonography (CEUS).
[0050] (1) Establishment of liver CEUS database
[0051] The previously stored liver CEUS dynamic and static image data were retrospectively collected, and the target number of cases n was 1000. The contrast agent can be Sonovo (Bracco, Italy), and the CEUS imaging can adopt the low mechanical index (mechanical index <0.2) imaging mode. The nature of the lesion is confirmed by clinical, imaging or pathological data. Easier-to-diagnose cases such as hepatic cysts and focal loss of fat in the liver were excluded. The diagnostic criteria for different types of lesions refer to relevant guidelines or literature (Claudon 2008). details as follows.
[0052] 1. Hepatocellular carcinoma: those without liver cirrhosis need to be confirmed by pathology; those with liver cirrhosis need to be confirmed by pathology for nodules with a diameter of less than 2 cm, and nodules with a diameter of more tha...
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 provides an ultrasonic radiography characteristic automatic identification system and method based on an artificial nerve network model; the system comprises the following elements: a data input unit used for inputting ultrasonic radiography image data; a data storage unit used for collecting and storing the inputted ultrasonic radiography image data; a data processing unit used for extracting various ultrasonic radiography image characteristics from the collected ultrasonic radiography image data, building an artificial nerve network according to the various ultrasonic radiography image characteristics and corresponding identification results, and identifying to-be processed images according to the artificial nerve network; a data output unit used for outputting the processing result of the data processing unit. The ultrasonic radiography characteristic automatic identification system and method can help to identify pathology CEUS characteristics of an interested area (pathology area).
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
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more