Medical image recognition method, medical image recognition device, terminal equipment and medium
A medical image and recognition method technology, applied in the field of image recognition, can solve problems such as low recognition efficiency, and achieve the effects of obvious information, improved recognition efficiency, and rich attribution
Active Publication Date: 2022-02-08
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF6 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] In view of this, the embodiment of the present application provides a medical image recognition method, a medical image recognition device, a terminal device, and a computer-readable storage medium to solve the problem of low recognition efficiency in existing gland image recognition solutions
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
[0052] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0053] see figure 1 , figure 1 It is an implementation flow chart of a medical image recognition method provided in the embodiment of this application. In this embodiment, the medical image recognition method is used to recognize the gland cavity and the gland edge on the gland image, and its execution subject is a computer terminal, for example, a computer or server for image acquisition and image analysis.
[0054] Such as figure 1 The shown medical image recognition method includes the following steps:
[0055] S11: Obtain a slice image including the shape of the gl...
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
This application is applicable to the technical field of image recognition, and provides a medical image recognition method, a medical image recognition device, a terminal device, and a medium. In the trained multi-scale fully convolutional network model, the feature set under different receptive fields is extracted from the sliced image through the trained multi-scale full convolutional network model, and the feature set is subjected to feature fusion and normalization processing , the feature value set of each pixel in the slice image can be determined. Since the features collected under different receptive fields consider more factors influencing the pixel point, the overall information of the slice image described by the feature set is more obvious. The value set represents a richer attribution of pixels, so the position of the gland cavity and the edge of the gland can be marked in the slice image according to the feature value set of each pixel, which improves the recognition efficiency of medical images.
Description
technical field [0001] The present application belongs to the technical field of image recognition, and in particular relates to a medical image recognition method, a medical image recognition device, a terminal device, and a computer-readable storage medium. Background technique [0002] As important organizational structures in most organ systems, glands are primarily responsible for the secretion of proteins and carbohydrates. Meanwhile, adenocarcinoma is one of the most common forms of cancer, such as prostate cancer, breast cancer, etc. Correct cancer grading can guide professional doctors to recommend appropriate treatment options. Whether the shape of the gland can be accurately identified is crucial for the grading of cancer. [0003] However, in the existing gland image recognition schemes, it is only suitable for identifying a single gland image without lesions, if two or more glands are close together, or the glands have morphological changes due to lesions. Wh...
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 Patents(China)
IPC IPC(8): G06V10/44G06V10/46G06T7/00G06T7/13G06N3/04
CPCG06T7/0012G06T7/13G06T2207/20081G06T2207/30096G06V10/44G06V10/462G06N3/045
Inventor 陈世峰张搌鹏
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI