Method for displaying nodules according to confidence and computing equipment
A confidence level and confidence threshold technology, applied in the field of machine learning, can solve problems such as increased workload, low results, troublesome product version management, etc., and achieve the effect of improving efficiency
Pending Publication Date: 2020-11-17
HANGZHOU YITU MEDIAL TECH CO LTD
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
At present, there are some artificial intelligence products that can automatically identify nodules in medical images through machine learning, but these artificial intelligence products cannot meet the diverse needs of different doctors. Some doctors hope that AI products can detect all nodules in every detail , the authority to make the final judgment is left to the doctor; and some doctors feel that detecting too many small nodules will add a lot of work and have little effect, and hope that only important nodules can be selected
If multiple versions are released at the same time to meet the different needs of different doctors, the maintenance of AI products will increase the workload very much, and the version management of different AI products is also very troublesome
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
[0021] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. 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.
[0022] figure 1 The system architecture applicable to the image nodule detection method provided by the embodiment of the present invention. refer to figure 1 As shown, the system architecture may be a server 100 including a processor 110 , a communication interface 120 and a memory 130 .
[0023] Among them, the communication interface 120 is used for the terminal equipment suitable for doctors to communicate, and to send and receive...
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 discloses a method for displaying nodules according to confidence. The method comprises the steps: acquiring the nodules in a medical image and the confidence of the nodules; obtaining confidence thresholds of the nodule to be displayed, the confidence thresholds including a first confidence threshold and a second confidence threshold, and the first confidence threshold being greaterthan the second confidence threshold; and displaying the corresponding nodule according to the obtained confidence threshold. According to the invention, the confidence coefficient of the corresponding candidate nodule is obtained through the nodule detection model, and the corresponding nodule is displayed through the selected confidence coefficient thresholds of different levels, so that a doctor can select the content needing to be checked, and the diagnosis efficiency is improved.
Description
technical field [0001] The invention relates to the technical field of machine learning, in particular to a method and computing device for displaying nodules according to confidence levels. Background technique [0002] At present, nodules have attracted widespread attention, such as pulmonary nodules, thyroid nodules, etc. Doctors generally observe the condition of nodules in patients through medical imaging. As time goes by, the patient's nodules may change, for example, increase, decrease, or grow new nodules and so on. At present, there are some artificial intelligence products that can automatically identify nodules in medical images through machine learning, but these artificial intelligence products cannot meet the diverse needs of different doctors. Some doctors hope that AI products can detect all nodules in every detail , The authority to make the final judgment is left to the doctor; and some doctors feel that detecting too many small nodules will add a lot of w...
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 IPC IPC(8): G06T7/136G06N20/00
CPCG06T7/136G06N20/00G06T2207/30064
Inventor 石磊谢晋史晶
Owner HANGZHOU YITU MEDIAL TECH CO LTD