Bone tumor focus analysis system

An analysis system and technology for bone tumors, applied in image analysis, instruments, biological neural network models, etc., can solve the problems of the lesion analysis system that does not find bone tumors and the error rate that relies on doctors' professional skills, so as to increase accuracy and reduce The effect of previous work

Pending Publication Date: 2022-07-15
SHANGHAI SIXTH PEOPLES HOSPITAL
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Problems solved by technology

[0003] At present, no lesion analysis system for bone tumors has been found. In general, doctors manually label the patient's lesion image data and classify bone tumors based on experience. This method is too dependent on doctors' professional skills and exists. Not a small error rate, there are hidden dangers

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  • Bone tumor focus analysis system
  • Bone tumor focus analysis system
  • Bone tumor focus analysis system

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Embodiment Construction

[0051] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The present invention is not limited to this embodiment, and other embodiments may belong to the scope of the present invention as long as it conforms to the gist of the present invention.

[0052] In a preferred embodiment of the present invention, based on the above problems existing in the prior art, a system for analyzing bone tumor lesions is provided, such as figure 1 shown, including:

[0053] A back-end training server 1, the back-end training server 1 includes:

[0054] The first acquisition module 11 is configured to acquire multiple groups of lesion image data of multiple bone tumor patients respectively, and each group of lesion image data includes X-ray images, CT images and MRI images of corresponding bone tumor sites;

[0055] The model training module 12 is connected to the first acquisition module 11, and is configured to use eac...

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Abstract

The invention provides a bone tumor lesion analysis system, which comprises a back-end training server, which comprises a first acquisition module used for respectively acquiring multiple groups of lesion image data of multiple bone tumor patients, and each group of lesion image data comprises an X-ray film image, a CT image and an MRI image of a corresponding bone tumor part; the model training module is used for performing multi-modal training by taking each group of lesion image data as input and taking the corresponding lesion classification result as output to obtain a corresponding lesion analysis model; the front-end analysis module comprises a first acquisition unit used for acquiring and outputting at least one group of to-be-analyzed image data of a to-be-analyzed bone tumor patient; and the rear-end training server further comprises an image analysis module which is used for calling the focus analysis model to process each group of obtained to-be-analyzed image data to obtain a focus classification result and outputting the focus classification result to the front-end analysis module for a doctor to check. The method has the beneficial effect that the focus analysis model is constructed by adopting two detection networks to improve the accuracy.

Description

technical field [0001] The invention relates to the technical field of lesion analysis, in particular to a bone tumor lesion analysis system. Background technique [0002] Bone tumors cover a wide range, including primary benign and malignant tumors or secondary tumors that occur in tissues related to the skeletal system such as bone, cartilage, fibrous tissue, adipose tissue, hematopoietic tissue, and nerve tissue. In addition, it also includes tumor-like lesions of bone and its ancillary tissues, such as fibrous dysplasia, bone cysts, aneurysmal bone cysts, eosinophilic granulomas, etc. Therefore, bone tumors are extremely complex in lesion analysis. Diversity, analysis errors that lead to amputation of patients and even life-threatening situations still commonly occur. [0003] At present, no lesion analysis system for bone tumors has been found. Usually, doctors manually label the patient's lesion image data and classify and judge bone tumors based on experience. This m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/08G06N3/04G06K9/62G06V10/44G06V10/764G06V10/82
CPCG06T7/0012G06N3/08G06T2207/10081G06T2207/20081G06T2207/10088G06T2207/30096G06N3/045G06F18/241
Inventor 赵可扬梅炯朱晓中吴升辉闫旭廖鹏
Owner SHANGHAI SIXTH PEOPLES HOSPITAL
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