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305 results about "Cancer detection" patented technology

Detection of cancer is actually the detection of such abnormal cells formed during the generation of cancerous tumors. These abnormal cells spread to various parts of the body through lymph nodes and the bloodstream. ... Cancer detection is very important to predict the extent of damage the cancerous cells may cause to the body. A proper and reliable treatment can be planned only when the presence of cancerous tumors is confirmed.

Method for constructing virtual case library of cancer pathological images and multi-scale cancer detection system based on convolutional neural network

The invention discloses establishment of a virtual case library of cancer pathological images and a multi-scale cancer detection system based on a convolutional neural network. The system is based ona method of a convolution neural network, a cancer mass region is detected on a pathological full-scan section, and the system includes four modules: 1) a pathological section image preprocessing module; 2) a virtual case database construction module; 3) a high-scale cancer mass detection module; and 4) a small-scale cancer mass classification module. The multi-scale cancer detection system provided by the invention can make full use of the multi-scale information of a pathological image, on different scales, according to the characteristics of the image, different strategies are designed to detect a suspected cancer area, and at the same time, under the condition of insufficient training data, the virtual case library method established by the invention can provide more training data setsfor an existing data-driven deep learning method. The multi-scale cancer detection system based on a convolutional neural network has the characteristics of multi-scale detection, driving of a relatively small amount of data and the like, and has the characteristic of reducing computing resources required for one-time recognition and improving time efficiency of an algorithm on the basis of ensuring the overall recall rate and accuracy.
Owner:杭州同绘科技有限公司
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