Quantization device and method of image analysis method, equipment and storage medium
An image analysis and memory technology, applied in the field of deep learning, which can solve problems such as the inability to evaluate the accuracy of image analysis methods
Active Publication Date: 2019-10-15
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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[0004] Based on this, it is necessary to provide a quantification method, device, equipment and storage medium of an image analysis method for the problem that the accuracy of the image analysis method cannot be evaluated
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[0062] The quantitative method, device, equipment and storage medium of the image analysis method provided in this application aim to solve the problem of high cost when evaluating the accuracy of different labeling modules. The technical solution of the present application and how the technical solution of the present application solves the above technical problems will be described in detail below through embodiments and in conjunction with the accompanying drawings. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.
[0063] The quantification method of the image analysis method provided in this embodiment can be applied to the quantification terminal of the image analysis method, and the quantification terminal of the image analysis method can be but not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable The de...
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The invention relates to a quantization device and method of an image analysis method, equipment and a storage medium. The quantization method includes the steps: according to a user labeling result and a model labeling result, labeling a medical image to obtain a first labeling result, and obtaining a model labeling result of the user; labeling the medical image according to the model labeling result to obtain a second labeling result; and comparing the user labeling result, the first labeling result and the second labeling result with the standard labeling result, obtaining a first quantification result of the first labeling result accuracy and a second quantification result of the second labeling result accuracy. In the present application, the terminal compares the user labeling result, the first labeling result and the second labeling result with a standard labeling result; and the accuracy of the first labeling module and the accuracy of the second labeling module are obtained according to the labeling result of the same model, and the situation that multiple clinical tests are carried out is avoided, and the problem that the cost is high when the accuracy of different labeling modules is evaluated is solved.
Description
technical field [0001] The present invention relates to the technical field of deep learning, in particular to a quantification device, method, equipment and storage medium of an image analysis method. Background technique [0002] With the rapid development of artificial intelligence technology, when analyzing medical images, medical image analysis algorithms are often used to perform machine learning on the above medical images to obtain the analysis results of the above medical images. [0003] After the medical image analysis algorithm is used to perform machine learning on medical images to output the analysis results of the above medical images, the accuracy of the obtained analysis results is usually evaluated through clinical trial data. It can use the labeling module to label the analysis result to obtain the labeling result, and then obtain the accuracy of the labeling module according to the labeling result. However, with the above method, the accuracy of differe...
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IPC IPC(8): G06T7/00G06K9/32G06K9/62
CPCG06T7/0012G06T2207/30004G06V10/25G06V2201/03G06F18/2193
Inventor 高耀宗周翔
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD