Ear CT (Computed Tomography) image vestibular segmentation method for mixing 2D (Two Dimensional) and 3D (Three Dimensional) convolutional neural networks

A convolutional neural network and CT image technology, applied in ear CT image diagnosis, computer image processing, and deep learning fields, can solve problems such as difficult training, lack of categories, and huge demand for computing resources, so as to improve work efficiency and quality, The effect of high segmentation accuracy and excellent segmentation performance
CN113850818APending Publication Date: 2021-12-28BEIJING UNIV OF TECH

Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
BEIJING UNIV OF TECH
Publication Date
2021-12-28

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Abstract

The invention discloses an ear CT image vestibule segmentation method mixing 2D and 3D convolutional neural networks. The method comprises three steps of constructing a data set, designing a 2DCNN segmentation network based on a plurality of depth feature fusion strategies, and designing a 3D DDenseUNet segmentation network. The 2D network adopts an encoder-decoder structure as a backbone network to extract vestibular features of the ear CT image; the method comprises the following steps: firstly, constructing a vestibule, then integrating DenseNet-BC and U-Net network architectures, constructing a 3DDenseUNet network, fusing low-level spatial information and high-level semantic information, and finally realizing precise segmentation of the vestibule. The segmentation network designed for the vestibular structure can obtain segmentation performance better than that of a general segmentation method, and the working efficiency and quality of medical staff in the radiology department are improved. The ear key structure can be accurately and automatically segmented, a doctor is helped to complete a large amount of repeated work, and the burden of the doctor is effectively relieved.
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Description

technical field

[0001] The invention belongs to the field of computer vision and medical image processing, and specifically relates to computer image processing, deep learning, ear CT image diagnosis and the like. Background technique

[0002] The structure of the ear is specific in shape, precise in structure, and complex in function, and most of the structures are located in the temporal bone. The temporal bone is divided into three parts: inner ear, middle ear and outer ear, mainly including malleus, incus, stapes, outer wall of cochlea, inner cavity of cochlea, vestibule, anterior semicircular canal, outer semicircular canal, posterior semicircular canal, internal auditory canal, jugular vein ball and socket, etc. More than 30 organs.

[0003] The vestibule is one of the important organs of the inner ear. It is located between the cochlea and the semicircular canal. It is an irregular oval cavity on the CT image. Vestibular abnormality is the most common inner ear dise...

Claims

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