Information processing method and device for hip joint CT image recognition

An information processing method and CT image technology, applied in the field of data processing, can solve problems such as inaccurate identification of fracture areas

Pending Publication Date: 2021-07-06
零氪智慧医疗科技(天津)有限公司
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[0004] The main purpose of the present disclosure is to provide an information processing method and d

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  • Information processing method and device for hip joint CT image recognition
  • Information processing method and device for hip joint CT image recognition
  • Information processing method and device for hip joint CT image recognition

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[0020] In order to enable those skilled in the art to better understand the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is an embodiment of a part of the present disclosure, but not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present disclosure.

[0021] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circ...

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Abstract

The embodiment of the invention discloses an information processing method and device for hip joint CT image recognition, and the method comprises the steps: firstly carrying out the preprocessing of an original hip joint CT image, inputting the preprocessed image into a 2D DenseUnet neural network model, carrying out the recognition of a fracture region, inputting the image data of the recognized fracture region into a MaskRCNN network model, segmenting a fracture region by the MaskRCNN to generate image data of a fracture block region; and finally, mapping the image of the fracture area to the original image scale of the CT image. An original hip joint CT image is recognized and segmented through a 2D DenseUnet neural network model and a MaskRCNN network model, and accurate recognition of a fracture block is achieved.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular to an information processing method and device for hip joint CT image recognition. Background technique [0002] In hip CT images, it is difficult to assess the degree of fracture damage. In some complex fractures, such as the occurrence of lateral wall bone fragments and medial wall bone fragments, it is difficult for doctors to assess whether the volume of missing bone fragments is It is so large that additional surgical measures are needed for remediation, and doctors cannot measure its volume from CT images. It is difficult for traditional image processing methods to distinguish these fractures with similar densities through methods such as thresholding and filtering, and it is even more difficult to calculate each fracture. The volume of a bone block. [0003] With the development of neural network technology, image recognition can be realized through neur...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/194G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06T7/194G06N3/084G06T2207/10081G06T2207/30008G06N3/048G06N3/045G06F18/2415
Inventor 罗立刚罗翔侯波林罗祥凤高光明
Owner 零氪智慧医疗科技(天津)有限公司
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