Femoral neck fracture detection method and system based on weakly supervised segmentation

A femoral neck fracture and weak supervision technology, which is applied in the field of medical image processing, can solve the problems of poor detection accuracy, low efficiency, femoral neck area detection, etc., and achieve the effect of fast efficiency and high detection accuracy

Active Publication Date: 2022-07-01
浙江飞图影像科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention provides fracture detection for the prior art, but does not specifically detect the femoral neck region; for femoral neck fracture detection, it detects on the basis of multi-model fusion, and its detection accuracy is poor and the efficiency is low Shortcomings, providing a femoral neck fracture detection method and system based on weakly supervised segmentation

Method used

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  • Femoral neck fracture detection method and system based on weakly supervised segmentation
  • Femoral neck fracture detection method and system based on weakly supervised segmentation
  • Femoral neck fracture detection method and system based on weakly supervised segmentation

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Experimental program
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Effect test

Embodiment 1

[0075] The method for femoral neck fracture detection based on weakly supervised segmentation includes the following detection steps:

[0076] Acquire the detection image, input the acquired femoral neck X-ray film into the constructed and trained detection neural network to detect the femoral part, and obtain the probability segmentation map Pprobability and the femoral neck area detection image P detec ;

[0077] Obtain the fracture type of the femoral neck region, and detect the femoral region in the image P detec Input to the constructed and trained classification network to obtain the type of femoral fracture;

[0078] Obtain the segmented fracture site and detect the femur area in the image P detec Input the constructed and trained weakly supervised segmentation network to obtain the segmented fracture image Pseg;

[0079] The images of the femoral neck fracture area are obtained by image fusion, and the segmented fracture image Pseg is combined with the femoral area ...

Embodiment 2

[0124] On the basis of Embodiment 1, the system for femoral neck fracture detection based on weakly supervised segmentation in this embodiment includes a detection module, a classification module, a weakly supervised segmentation module and an image fusion module, and is characterized in that it also includes a weakly supervised segmentation-based femoral neck fracture detection system. Methods for the detection of neck fractures,

[0125]The detection module inputs the acquired femoral neck X-rays into the constructed and trained detection neural network to detect the femoral part, and obtains the probability segmentation map Pprobability and the femoral neck region detection image P detec ;

[0126] Classification module, the femoral region is detected in the image P detec Input to the constructed and trained classification network to obtain the type of femoral fracture;

[0127] The weakly supervised segmentation module obtains the segmented fracture site and detects the ...

Embodiment 3

[0130] On the basis of Embodiment 1, the steps of constructing a neural network and segmenting a probability map in this embodiment include:

[0131] Step 1.1, input a set of femoral neck X-ray images P orig , set the initial convolution output channel 64;

[0132] Step 1.2, for the input image P orig Do two 3×3 convolutions, and the number of output channels per convolution is n 2 , batch normalization and ReLU operations are performed after each convolution, and a 2×2 maximum pooling operation is performed after the two convolutions are completed to extract the feature EIG_S2;

[0133] Step 1.3, take the feature EIG_S2 as the input feature, perform two 3×3 convolutions, and the number of output channels for each convolution is n 3 , n 3 =n 2 *2; when n 3 =512, the output feature is EIG_S3, and step 1.4 is executed, otherwise, the output feature EIG_S3 is used as the input feature of step 1.2, and step 1.2 is repeated;

[0134] Step 1.4, do two 3×3 convolutions on the ...

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Abstract

The invention relates to the field of medical image processing, and discloses a method and system for detecting femoral neck fractures based on weakly supervised segmentation. , get the probability segmentation map P probability and femoral neck region detection image P detec ; Obtain the fracture type of the femoral neck region, and detect the image P of the femoral region detec Input to the constructed and trained classification network to obtain the type of femoral fracture; detec Input the constructed and trained weakly supervised segmentation network to obtain the segmented fracture image P seg ; Image fusion to obtain the image of the femoral neck fracture area, and the segmented fracture image P seg Detection image P with the femoral region detec Fusion is performed to generate an image of the femoral neck fracture area and output. The femoral neck fracture is segmented by weakly supervised segmentation method, which has high detection accuracy and high efficiency.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method and system for detecting femoral neck fractures based on weakly supervised segmentation. Background technique [0002] Femoral neck fracture is a common clinical trauma, accounting for about 3.58% of all fractures. Femoral neck fractures often occur in the elderly, and with the increase in life expectancy, the incidence is also increasing, especially in developed countries and regions where the elderly population is increasing rapidly. According to statistics, the number of hip fractures worldwide in 1990 was 10,000 cases, and by 2025, this number is expected to reach 4 million cases, and by 2050, it will reach 6.3 million cases. Femoral neck fractures have high mortality and morbidity rates, and nonunion and avascular necrosis of the femoral head are the two main problems in their clinical treatment. [0003] Early diagnosis and treatment can not only maintain ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B6/00
CPCA61B6/505A61B6/52
Inventor 胡利荣符勇张跃华
Owner 浙江飞图影像科技有限公司
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