Focus detection method, device and equipment

Abstract

The invention discloses a focus detection method, device and equipment, and the method comprises the steps: obtaining a first image which comprises a plurality of sampling slices, and enabling the first image to be a three-dimensional image which comprises an X-axis dimension, a Y-axis dimension and a Z-axis dimension; performing feature extraction on the first image to generate a first feature map containing features and positions of a focus; 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 the 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 and a Y-axis dimension; and detecting the feature of the second feature map to obtain the position of each focus in the second feature map and the confidence coefficient corresponding to the position. By the adoption of the method and device, the focus conditions of multiple parts in the body of the patient can be accurately detected, and preliminary cancer assessment in the whole body range of thepatient is achieved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device and equipment for lesion detection. Background technique [0002] 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 affected by the pathogenic factor and causes the lesion, and is the part of the body where the lesion occurs. For example, if a certain part of the human lung is destroyed by tuberculosis bacteria, then this part is the focus of tuberculosis. [0003] In recent years, with ...

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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