Computer system for identifying medical image
A computer system and medical image technology, applied in the field of medical image recognition, can solve the problems of low accuracy, achieve the effects of ensuring effectiveness, less computing resources, and improving model training efficiency
Active Publication Date: 2019-10-22
GUANGDONG UNIV OF TECH
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However, since the etiology of Alzheimer's disease is still unknown, in the process of medical image analysis, if the selected medical image data cannot fully cover the characteristics of the etiology, the accuracy of image recognition using the analysis results will be low
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[0043] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0044] The terms "first", "second", "third" and "fourth" in the specification and claims of this application and the above drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "comprising" and "having", and any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprisi...
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The embodiment of the invention discloses a computer system for identifying a medical image, which comprises an image identification component for identifying a medical image to be processed, and a model construction device comprising a single-mode data training module, a multi-mode data training module and a result integration module. The single-mode data training module carries out training by using the image data belonging to the same imaging type and the same slice type in the sample set to obtain a plurality of single-mode network models. The multi-modal data training module takes data obtained by output cascading of a plurality of single-modal network models trained by sample data which do not belong to the same imaging type as sample data, and trains a bidirectional gating cycle unit to obtain a plurality of multi-feature learning models. The result integration module is used for integrating the medical image prediction results output by the single-mode network models and the multi-feature learning models to serve as an identification result of the to-be-processed medical image. According to the invention, the medical image identification accuracy is effectively improved.
Description
technical field [0001] Embodiments of the present invention relate to the technical field of medical image recognition, in particular to a computer system for recognizing medical images. Background technique [0002] Alzheimer's disease is a neurodegenerative disease with insidious onset and progressive development. Medically, Alzheimer's disease can generally be found through structural imaging or functional neuroimaging. Structural imaging, such as head CT (Computer Tomography, computerized tomography) and MRI (Magnetic Resonance Imaging, magnetic resonance imaging images), can show obvious atrophy of the cerebral cortex, especially the hippocampus and medial temporal lobe, which supports the clinical diagnosis of Alzheimer's disease . Functional neuroimaging such as positron emission tomography and single photon emission computed tomography may improve confidence in the diagnosis of dementia. [0003] The clinical manifestations of Alzheimer's disease are different in d...
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IPC IPC(8): G06T7/00G06T7/33G06T17/00G06T19/20G06T5/00G16H30/20
CPCG06T7/0012G06T7/344G06T17/00G06T19/20G16H30/20G06T2207/10088G06T2207/10104G06T2207/20081G06T2207/20084G06T2207/30016G06T5/70
Inventor 黄殷曾安潘丹
Owner GUANGDONG UNIV OF TECH