Kidney tumor enhanced CT image automatic identification system based on deep learning and training method thereof

Abstract

The invention relates to the technical field of image recognition, in particular to a kidney tumor enhanced CT image automatic recognition system based on deep learning and a training method thereof. The system includes an infrastructure unit, a deep learning unit, an image recognition unit and an auxiliary expansion unit. The infrastructure unit is used for providing infrastructure equipment and devices for supporting system operation; the deep learning unit is used for building a learning model, supporting the operation of the image recognition system through deep learning and improving the recognition precision; the image recognition unit is used for inputting a CT examination image of a patient and recognizing the CT examination image to judge the symptom type; and the auxiliary expansion unit is used for improving the functionality of the system by adding various expansion auxiliary applications. The designed system can noninvasively predict the pathological type of the kidney tumor in advance, the diagnosis and treatment efficiency is improved, meanwhile, the workload of doctors is relieved, and in addition, the system can be widely applied to primary hospitals; the training method can improve the recognition precision of the system and improve the efficiency and accuracy of kidney tumor diagnosis.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps predict who will develop cancer during their life by analyzing images from different parts of your body for signs or symptoms related thereto. It uses advanced machine learning techniques such as convolution neural networks (CNN) to learn patterns about specific diseases like nephropathy through labeled datasets obtained from healthcare facilities. By combining relevant diagnostic cases together with these dataset(s), it becomes easier to identify any problematic areas within an entire picture without having to visit hospitals every time). Additionally, this technology allows for quicker identification and more accurate treatments than traditional methods while reducing costs associated therewith. Overall, this innovation makes better informed decisions when planning radiation sessions and providing them to those at risk.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the ability of identifying cancerous tissue from computed tomography (CT) scans during surgery without having to perform invasive procedures that may harm healthcare workers involved.

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