Femoral region and key point detection method and system

A key point, femur technology, applied in the field of femoral area and key point detection, can solve the problem of tools and solutions that do not automatically delineate areas and mark key points, and achieve the effect of convenient and accurate automatic methods

Pending Publication Date: 2021-11-02
瓴域影诺北京科技有限公司
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  • Application Information

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Currently, there are no tools and solutions for...

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  • Femoral region and key point detection method and system
  • Femoral region and key point detection method and system
  • Femoral region and key point detection method and system

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Embodiment Construction

[0060] The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. 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.

[0061] The human visual system is fast and precise, and can recognize objects and their positions in images with just a glance (You Only Look Once, YOLO).

[0062] For the target detection task, the YOLO model can quickly detect the target area, but it cannot output the position of a key point in the area very well. In addition, affected by various factors such as image contrast and image shooti...

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Abstract

The embodiment of the invention discloses a femur area and key point detection method and system, and the method comprises the steps: carrying out the image data preprocessing of a dicom femur image, and obtaining a hip joint image; marking coordinate points and key point coordinates of the left and right areas of the femur in the hip joint image, and performing normalization processing to obtain a data set required by a yolk model; setting parameters before training of the yolk model, so that the key point coordinates are loaded while the loading area detects the position; establishing a loss function of region detection and key point detection, and minimizing the loss function through a gradient descent method to obtain an improved yolo model; inputting the preprocessed image into the improved yolo model, and restoring the normalized coordinates to the position of the original image; and according to the area coordinates and the key point coordinates, drawing the restored coordinates in the original image to obtain left and right femur areas and key points. Besides predicting left and right femur areas, key points in the femur areas can be predicted, and a convenient and accurate automatic method is provided for calculating femur key indexes.

Description

technical field [0001] The embodiments of the present application relate to the field of artificial intelligence medical technology, and in particular to a detection method and system for a femoral region and key points. Background technique [0002] Hip replacement has become one of the most common surgeries at home and abroad. With the aggravation of the population aging problem, the number of operations will increase. During the operation, doctors need to accurately identify each tissue structure in order to match a suitable prosthesis. Once there is a subjective judgment error, the result of the operation will be seriously affected. Therefore, it is very important to find a method to safely and accurately identify and locate each important key point. [0003] For the delineation of the femoral area and the location marking of important structures, the doctor needs to manually outline the key points of the important structures before the operation to assist in judging ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/46G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10116G06T2207/30008G06N3/045
Inventor 怀晓晨穆红章
Owner 瓴域影诺北京科技有限公司
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