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426 results about "Nasopharyngeal carcinoma" patented technology

A cancer that starts in the nasopharynx, which is the upper part of the throat behind the nose.

Nasopharyngeal-carcinoma (NPC) lesion automatic-segmentation method and nasopharyngeal-carcinoma lesion automatic-segmentation systems based on deep learning

The invention discloses a nasopharyngeal-carcinoma (NPC) lesion automatic-segmentation method and nasopharyngeal-carcinoma lesion automatic-segmentation systems based on deep learning. The method comprises: carrying out registration on a PET (Positron Emission Tomography) image and a CT (Computed Tomography) image of nasopharyngeal carcinoma to obtain a PET image and a CT image after registration;and inputting the PET image and the CT image after registration into a convolutional neural network to carry out feature representation and scores map reconstruction to obtain a nasopharyngeal-carcinoma lesion segmentation result graph. The method carries out registration on the PET image and the CT image of the nasopharyngeal carcinoma, obtains a nasopharyngeal-carcinoma lesion by automatic segmentation through the convolutional neural network, and is more objective and accurate as compared with manual segmentation manners of doctors; and the convolutional neural network in deep learning isadopted, consistency is better, feature learning ability is higher, the problems of dimension disasters, easy falling into a local optimum and the like are solved, lesion segmentation can be carried out on multi-modal images of the PET-CT images, and an application range is wider. The method can be widely applied to the field of medical image processing.
Owner:SHENZHEN UNIV

Medical care information management system

The invention belongs to the field of hospital information processing. A medical care information management system is used for performing medical information management on patients with nasopharyngeal carcinoma by medical care personnel, comprises a patient mobile terminal, a network data management platform system and a cloud server, and further comprises a medical care information management PCterminal, wherein the medical care information management PC terminal comprises a user right management module, a patient management module, a prompting module, an information distribution module anda circle module. The patient mobile terminal is used for collecting patient-related information and uploading the information to the network data management platform system; the medical care information management PC terminal is used for the medical care personnel to call and input the patient-related information from the network data management platform system; the network data management platform system is used for receiving, storing, analyzing and processing relevant data and transmitting the data to patient mobile terminal and the medical care information management PC terminal. The medical care information management system can provide medical care management service with high convenience and service performance for the medical care personnel.
Owner:THE PEOPLES HOSPITAL OF GUANGXI ZHUANG AUTONOMOUS REGION

A nasopharyngeal carcinoma focus segmentation model training method and segmentation method based on deep learning

The invention provides a nasopharyngeal carcinoma focus segmentation model training method and segmentation method based on deep learning, and the method comprises the following steps: I, loading a trained segmentation model into a convolutional neural network model; II, reading the nasopharyngeal carcinoma MRI original image; III, normalizing the nasopharyngeal carcinoma MRI original image to obtain a nasopharyngeal carcinoma MRI image; IV, inputting the nasopharyngeal carcinoma MRI image into the convolutional neural network model to obtain a focus probability map of the nasopharyngeal carcinoma MRI image; And V, binarizing the focus probability map of the nasopharyngeal carcinoma MRI image to obtain a focus segmentation map. The invention further provides a nasopharyngeal carcinoma focus segmentation model training method. The model obtained through the nasopharyngeal carcinoma focus segmentation model training method based on deep learning is applied to the focus segmentation method, and the problem of poor effect caused by small image segmentation in the nasopharyngeal carcinoma MRI image can be effectively solved, so that the segmentation effect of the target small image is improved, and the nasopharyngeal carcinoma focus is segmented more accurately and automatically.
Owner:SOUTH CHINA UNIV OF TECH

Chinese medicine for treating lymph cancer, nasopharyngeal carcinoma and brain cancer

The invention discloses a Chinese medicine for remedying lymphoma, nasopharyngeal carcinoma and brain tumor, and relates to the Chinese medicine field. The prior cancer remedying method of western medicine mainly adopts surgical operation, radiotherapy and chemotherapy methods, the curative effect of which is not ideal. The cancer remedying method of western medicine damages the healthy organisms to a certain extent. Chinese medicine cures the cancers dialectically, invigorates yang and restrains yin, and achieves the purpose of exterminating cancer cells. The Chinese medicine is made from a plurality of raw materials of field pennycress, sargentgloryvine stem, motherwort, flagleaf and so on. The raw materials are crushed and sieved by a 360 sieve. The ferruginous contents are removed by magnetization. After being sterilized, the crushed raw materials are filled in small bags. The Chinese medicine can be taken by decocting into decoction which can be taken separately or taken together with residues. The clinical trial proves that the invention has the beneficial effect that the Chinese medicine is quick to take effect, has high curative effect and simple preparation technology, is convenient to be popularized, has low cost, not only is favorable to the treatment of patients, but also is suitable for the illness prevention for healthy people.
Owner:尧抚人
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