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Bone age evaluation model establishment method based on fuzzy label

A method for establishing a method and a technology for evaluating a model, which is applied in the field of establishing a bone age evaluation model based on fuzzy labels, can solve problems such as poor generalization performance of the model, and achieve the effects of improving prediction performance, reducing sensitivity, and enhancing generalization ability

Pending Publication Date: 2022-03-29
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0005] However, the bone age classification task is different from the traditional deep learning classification task. The category is measured by time, which is directional, and the adjacent categories are closely related, and contain a lot of prior knowledge. If only the most distinguishing local features in the label class are considered, Then other local features will be ignored, which will make the generalization performance of the model worse and fall into the overfitting situation

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  • Bone age evaluation model establishment method based on fuzzy label
  • Bone age evaluation model establishment method based on fuzzy label
  • Bone age evaluation model establishment method based on fuzzy label

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Embodiment Construction

[0046] In order to enhance the focus on the rich local features in hand bone X-ray pictures, the present invention proposes a method for establishing a bone age assessment model based on fuzzy labels, which can efficiently extract various features in the picture, so that the performance of the bone age assessment model is better. Generalization is stronger. Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0047] This embodiment specifically processes 12611 bone age pictures in PNG format in the public database of RSNA, and divides the data set randomly into a training set, a verification set, and a test set according to a ratio of 8:1:1, and the training set is used for training the network. The validation set is used to select the optimal model, and the test set is used to evaluate the model performance. Set the batchsize to 16, the initial learning rate is 0.003, and it is reduced by 10 times every 20 epoc...

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Abstract

The invention relates to a bone age evaluation model establishing method based on fuzzy labels. According to the method, one-hot tags are converted into Gaussian distribution fuzzy tags with different amplitudes, and meanwhile, the most distinguished local features are erased, so that the network not only can pay attention to the features of the most distinguished region, but also can efficiently extract the local features of other regions and fuse the local features, the evaluation performance of the model is improved, and the robustness of the model is enhanced.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method for establishing a bone age assessment model based on fuzzy labels. Background technique [0002] Bone age assessment is an important part of diagnosing endocrine disorders and growth disorders in children, and is an effective method for evaluating children's growth and development. [0003] Since it was proposed in 1955, bone age assessment has not only been widely used in clinical medicine, but also plays an important role in athlete qualification assessment and judicial judgment. However, over the years, bone age assessment methods have not changed much. At present, most hospitals still use manual interpretation of hand bone X-rays according to evaluation standards such as G-P, TW-3 or Zhonghua-05. This method works The amount is huge and the process is cumbersome. It is a test of the doctor's professional knowledge and clinical experience, and is greatly affe...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06V10/44G06V10/80G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06N3/084G06T2207/10081G06T2207/30008G06N3/045G06F18/2415G06F18/253
Inventor 周东何必仕徐哲
Owner HANGZHOU DIANZI UNIV
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