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Videodisc detection method based on convolutional neural network and videodisc detection system thereof

A convolutional neural network and detection method technology, applied in biological neural network models, neural architectures, image analysis, etc., can solve problems such as limiting model effects, large workload, and consumption, improving detection efficiency and reducing computational load. , the effect of increasing the accuracy

Active Publication Date: 2018-01-30
SHANDONG UNIV
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Problems solved by technology

Due to the particularity of medical images, the number of medical images is often difficult to meet the requirements, and image annotation requires a large workload, which limits the effect of the model

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  • Videodisc detection method based on convolutional neural network and videodisc detection system thereof
  • Videodisc detection method based on convolutional neural network and videodisc detection system thereof

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Embodiment Construction

[0053] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0054] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprise" and / or "comprise" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0055] figure 1 Among them, the flow chart of the present invention is mainly divided into the training stage and t...

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Abstract

The invention discloses a videodisc detection method based on a convolutional neural network and a videodisc detection system thereof. Supervised learning is performed by using a deep convolutional neural network so that the discriminate characteristics can be better learnt, and the expression capability of the model can be better enhanced by using the RGV image and the rectangular area of interest. The robustness and the accuracy of the training model can be effectively enhanced by multilevel training, and the efficiency of the model can also be enhanced by the probability guided detection method so that the problems of less sample, image complexity and poor quality can be overcome, and the videodisc detection task can be efficiently and accurately completed.

Description

technical field [0001] The invention relates to the field of ophthalmic medical image processing, in particular to an optic disc detection method based on a convolutional neural network. Background technique [0002] The optic disc is the part of the retina where visual fibers and blood vessels come together and exit the eyeball, and is the beginning of the optic nerve. The detection of the optic disc is of great significance in the automatic processing and analysis of fundus images. In actual application scenarios, due to the existence of various diseases and different image acquisition settings, the detection of optic discs still has great challenges. In recent years, the detection work of optic discs has mainly focused on unsupervised methods, which still have certain deficiencies in accuracy and efficiency. With the deepening of the application of statistical theory and machine learning theory in the field of medical image processing, more and more methods based on sup...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06N3/04
Inventor 尹义龙孟宪静杨公平袭肖明杨璐
Owner SHANDONG UNIV
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