Unlock instant, AI-driven research and patent intelligence for your innovation.

Tumor type determination system and method and storage medium

A tumor and type technology, applied in the field of medical image processing, can solve the problem of low accuracy of tumor type determination methods

Inactive Publication Date: 2019-06-28
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
View PDF15 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a tumor type determination system, method and storage medium to solve the technical problem of low accuracy of the tumor type determination method in the prior art

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
  • Tumor type determination system and method and storage medium
  • Tumor type determination system and method and storage medium
  • Tumor type determination system and method and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] figure 1 It is a structural block diagram of the medical image analysis system provided by Embodiment 1 of the present invention. The system includes an acquisition module 11 and a tumor type determination module 12, the acquisition module 11 is used to acquire one or more sets of medical image data to be analyzed of the subject; the tumor type determination module 12 is used to input the medical image data to be analyzed into the trained In the tumor classification model, to determine the tumor type of the lesions contained in the medical image data to be analyzed.

[0037] The acquiring module 11 can acquire the medical image data to be analyzed through network communication transmission, copying and other means. Among them, the type of medical imaging data to be analyzed is the type of medical imaging data commonly used in clinical tumor diagnosis, such as MRI, CT, PET-CT (Positron Emission Computed Tomography-Computed Tomography, Positron Emission Computed Tomograp...

Embodiment 2

[0048] Figure 6 It is a flow chart of the method for determining the tumor type provided by the second embodiment of the present invention. The technical solution of this embodiment is applicable to the situation where tumor types are automatically determined according to one or more sets of medical image data to be analyzed. The method can be executed by the device for determining the tumor type provided by the embodiment of the present invention, the device can be implemented in the form of software and / or hardware, and configured to be applied in a medical imaging system. The method specifically includes the following steps:

[0049] S101. Acquire one or more sets of medical image data of a subject to be analyzed.

[0050] Among them, the type of medical image data to be analyzed is the type of medical image data commonly used in clinical tumor diagnosis, such as MRI, CT, PET-CT, etc. If there are multiple groups of medical image data to be analyzed of the subject, the ...

Embodiment 3

[0061] Figure 7 It is a flow chart of the tumor classification model training method provided in Embodiment 3 of the present invention. On the basis of the above-mentioned embodiments, the embodiment of the present invention adds the steps of the tumor classification model training method, including:

[0062] S201. Obtain a preset number of medical image data of subjects to be analyzed, and perform tumor type identification on the medical image data of each subject to be analyzed, so as to create a training set sample for training a tumor classification model.

[0063] Exemplarily, the training set used to train the tumor classification model in this embodiment includes 336 samples, each sample includes two sets of magnetic resonance images of a subject, and these two sets of magnetic resonance images are T1-weighted magnetic resonance images and T2-weighted magnetic resonance image. The tumor type is identified for each set of magnetic resonance images of each subject, for...

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

No PUM Login to View More

Abstract

The embodiment of the invention discloses a tumor type determination system and method and a storage medium. The system comprises an acquisition module, an analysis module and an analysis module, wherein the acquisition module is used for acquiring one or more groups of to-be-analyzed medical image data of a subject; and the tumor type determination module is used for inputting the to-be-analyzedmedical image data into a trained tumor classification model so as to determine the tumor type of the focus contained in the to-be-analyzed medical image data. The technical problem that a tumor typedetermination method in the prior art is low in accuracy is solved, and the technical effect of improving the tumor type determination accuracy is achieved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of medical image processing, and in particular to a tumor type determination system, method and storage medium. Background technique [0002] Brain tumor is one of the most common diseases of the nervous system. It has a high mortality rate due to its late discovery, rapid deterioration, and high surgical risk. It is currently a recognized medical problem in the world. At present, there are various types and complex levels of brain tumors, and there are great differences in the treatment methods and prognosis of different types and levels of brain tumors, which makes it particularly important to locate and characterize brain tumors before surgery. At present, routine CT (Computed Tomography, CT for short) and MRI (Magnetic Resonance Imaging, magnetic resonance, MRI for short) imaging examinations can only make a preliminary diagnosis of its location, shape and size, and it is diffic...

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
no application Login to View More
IPC IPC(8): G06T7/00
Inventor 崔益峰石峰詹翊强
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD