Cervical cancer tct digital slice data analysis system based on resnet

Abstract

The invention discloses a ResNet-based TCT digital slice data analysis system for cervical cancer, which includes acquiring a patient's TCT slide scan image, performing image uniform cutting on the TCT slide scan image, and obtaining a plurality of uniformly cut image blocks; The image blocks are sequentially input to the automatic encoder to extract features, and the extracted features are further input into the single-class SVM classifier to extract the image blocks belonging to the positive area; the proposed image blocks are preprocessed and the processed image blocks are input to the training A good ResNet classification model obtains the lesion confidence of the image block, sets the confidence threshold in advance, and determines the image block with the lesion confidence higher than the confidence threshold as a positive area. The invention detects the TCT digital slice image data of cervical cancer, and compared with the traditional cervical cancer detection method, it can save the time and cost of image medical diagnosis, and improve the accuracy of diagnosis and treatment.

Description

technical field [0001] The invention belongs to the application of deep learning in the medical field, and in particular relates to a ResNet-based cervical cancer TCT digital slice data analysis system. Background technique [0002] With the emergence of convolutional neural networks and the perfection of deep neural networks, artificial intelligence computer vision based on deep learning has developed rapidly in recent years. Li Feifei, a tenured professor of computer science at Stanford University, once said that the level of artificial intelligence can now begin to affect the medical and health field. make a contribution. [0003] The biggest feature of artificial intelligence (AI) is fast learning. The artificial intelligence model based on deep learning has a deep neural network medical model with random parameters, and then trains the model with marked data, adjusts the model parameters after errors occur, and then assists with Medical knowledge, through a large amoun...

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Problems solved by technology

At present, there is no unified process for cervical cancer screening in China. Some hospitals use TCT+HPV combined screening, while others continue to use simple cervical smear examination. used to shunt

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