Rectal cancer preoperative concurrent neoadjuvant radiotherapy and chemotherapy effect evaluation system and method based on big data analysis MRI images

A technology for efficacy evaluation and rectal cancer, applied in computer-aided medical procedures, image enhancement, image analysis, etc., can solve the problems of increased identification difficulty, easy to cause missed diagnosis, misdiagnosis, low accuracy, etc. Evaluate the effect of high speed and accuracy
CN108922602AInactive Publication Date: 2018-11-30THE SIXTH AFFILIATED HOSPITAL OF SUN YAT SEN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
THE SIXTH AFFILIATED HOSPITAL OF SUN YAT SEN UNIV
Publication Date
2018-11-30
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a rectal cancer preoperative concurrent neoadjuvant radiotherapy and chemotherapy effect evaluation system and method. The evaluation system comprises: an image acquisition unit for acquiring MRI images before neoadjuvant radiotherapy and chemotherapy for patients with the locally advanced rectal cancer, and dividing the rectal cancer patients into a training set, a checkset and a test sets as input image data; an image annotation unit for performing data annotation on MRI images of the training set, the check set and the test set; a convolutional neural network construction unit for constructing a first convolutional neural network model; and a convolutional neural network model training unit for acquiring a second convolutional neural network model for evaluating the rectal cancer preoperative concurrent neoadjuvant radiotherapy and chemotherapy effect. The rectal cancer preoperative concurrent neoadjuvant radiotherapy and chemotherapy effect evaluation system has many advantages such as high accuracy, short time-consuming, long working duration, objective and three-dimensional result.
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Description

technical field

[0001] The present invention relates to a system and method for evaluating curative effect of preoperative neoadjuvant chemoradiotherapy for rectal cancer, in particular to a system and method for evaluating curative effect of preoperative neoadjuvant chemoradiotherapy for rectal cancer based on big data analysis of MRI images. Background technique

[0002] Deep learning is currently the most suitable and widely used algorithm for image recognition and speech analysis in the field of artificial intelligence. Its inspiration comes from the working mechanism of the human brain. It is to automatically extract features from externally input data by establishing a convolutional neural network. , so that the machine can understand the learning data, obtain information and output. At present, artificial intelligence based on deep learning has been applied in various industries, including speech recognition, face recognition, car logo recognition, handwritten Chinese...

Claims

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