CT image auxiliary diagnosis system based on cascade connection

Abstract

The CT image auxiliary diagnosis system based on cascade connection comprises a server side, the server side comprises a server, input equipment and output equipment, the input equipment and the output equipment are connected with the server, and an image preprocessing module and a cascade connection detection model are stored in the server; the cascade detection model comprises a convolutional neural network, a region suggestion network, an ROI Pooling layer and a plurality of cascade detectors. According to the invention, medical imaging and computer image processing are combined to completeautomatic detection of lesions. Aiming at the problem that CT focus features are complex and difficult to extract, a deformable convolution kernel is introduced into the cascade detection model to replace a standard convolution kernel, that is, 2D offset is increased in the standard convolution kernel, so that the focus features can be better extracted. Experimental results show that the lesion detection quality can be effectively improved, doctors can be helped to finish case classification and lesion identification more quickly and accurately, and the workload of the doctors is reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a CT image processing device. Background technique [0002] With the aging of the population, industrialization, the intensification of urbanization, and changes in lifestyles, the incidence of cancer is gradually increasing. Nowadays, cancer has become one of the main obstacles affecting our quality of life and health, especially lung cancer and lymphoma. This is because most patients with lung cancer and lymphoma have no obvious special symptoms in the early stage, so they will not be discovered until the late stage of cancer when they go to the hospital for examination. At this time, the best period for treatment and rehabilitation has been missed. With the development of medical imaging, doctors can use CT images to make timely diagnosis of cancer at an early stage, thereby solving the problem of high cancer mortality. With the emergence of a large number of CT ima...

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Problems solved by technology

[0004] In view of this, in order to solve the above key problems, the object of the present invention is to provide a cascade-based CT image-aided diagnosis system, which helps to solve the problem of manual CT image screening with heavy workload, fatigue, false detection and missed detection. inspection problem

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