Focus detection method, device and equipment, and storage medium

Abstract

The invention discloses a focus detection method, device and equipment and a storage medium, and the method comprises the steps: obtaining a first image comprising a plurality of sampling slices, wherein the first image is a three-dimensional image comprising an X-axis dimension, a Y-axis dimension and a Z-axis dimension; performing feature extraction on the first image to generate a first featuremap containing features and positions of lesions; wherein the first feature map comprises three-dimensional features of an X-axis dimension, a Y-axis dimension and a Z-axis dimension; performing dimension reduction processing on features contained in the first feature map to generate a second feature map; wherein the second feature map comprises two-dimensional features of an X-axis dimension anda Y-axis dimension; and detecting the features of the second feature map to obtain the position of each lesion in the second feature map and the confidence coefficient corresponding to the position.By adopting the method and the device, the focus conditions of a plurality of parts in the body of the patient can be accurately detected, and primary cancer assessment of the whole body range of thepatient is realized.

Description

[0001] This application is a divisional application of a Chinese patent application with the application number 201811500631.4, the application date is December 7, 2018, and the invention name is "a lesion detection method, device and equipment". technical field [0002] The present application relates to the field of computer technology, and in particular to a method, device, equipment and storage medium for lesion detection. Background technique [0003] Computer aided diagnosis (CAD) refers to the automatic detection of lesions in re-imaging through imaging, medical image analysis technology and other possible physiological, biochemical and other means, combined with computer analysis and calculation. Practice has proved that computer-aided diagnosis has played a great positive role in improving the accuracy of diagnosis, reducing missed diagnosis and improving the work efficiency of doctors. Among them, the lesion refers to the part of the tissue or organ that is affecte...

AI Technical Summary

Problems solved by technology

However, most of the current lesion detection methods tend to only focus on the detection of certain lesion types, such as lung nodules, skin lesions, liver tumors, enlarged lymph nodes, colon polyps, etc. In addition, in the prior art, the measurement of lesions The judgment usually does not take into account the three-dimensional context information, resulting in inaccurate measurement results

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