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Nodule detection method and device

A nodule and feature image technology, which is applied in image data processing, image enhancement, instruments, etc., can solve problems such as low efficiency, and achieve the effect of improving accuracy, improving accuracy, and improving nodule detection efficiency

Active Publication Date: 2018-10-12
HANGZHOU YITU MEDIAL TECH CO LTD
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Problems solved by technology

[0003] Embodiments of the present invention provide a method and device for detecting nodules, which are used to solve the problem of low efficiency in the prior art of judging whether there are nodules in medical images based on doctor's experience

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  • Nodule detection method and device
  • Nodule detection method and device
  • Nodule detection method and device

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Embodiment Construction

[0042] In order to make the object, technical solution and beneficial effects of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] figure 1 An exemplary flow of a method for detecting nodules provided by an embodiment of the present invention is shown, and the flow can be executed by a device for detecting nodules, such as figure 1 As shown, the specific steps of the process include:

[0044] Step S101, acquiring a nodule image.

[0045]Nodule images are three-dimensional images, and nodules include but are not limited to pulmonary nodules, thyroid nodules, and breast nodules. The nodule image can be a computed tomography (Computed Tomography, CT for short) image, a magnetic resonance imaging (Magnetic Res...

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Abstract

Embodiments of the invention provide a nodule detection method and device, and relate to the technical field of machine learning. The method comprises the following steps of: obtaining a nodule image,extracting feature images, with different sizes, of the nodule image by adoption of a nodule detection model, and determining nodule recognition boxes from the feature images, wherein the nodule detection model is determined after training a plurality of nodule images of marked nodules by adoption of a 3D convolutional neural network; and determining nodules of the nodule images according to thenodule recognition boxes determined from the feature images. According to the method, the feature images, with different sizes, of the nodule images are extracted, and nodules in each feature image are recognized, so that the nodules with big sizes can be detected and the nodules with small nodes also can be detected, thereby improving the nodule detection precision. Compared with the method of manually judging whether nodules exist in nodule images or not, the method for automatically detecting nodules by adoption of the nodule detection model is capable of effectively improving the nodule detection efficiency.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of machine learning, and in particular, to a method and device for detecting nodules. Background technique [0002] At present, nodules have attracted widespread attention, such as pulmonary nodules, thyroid nodules, etc. Doctors usually observe the nodules of patients through medical imaging methods to determine the patient's condition. After a patient takes a medical image, the doctor judges whether there are nodules in the medical image based on personal experience. This method is inefficient and has a high degree of subjectivity. Contents of the invention [0003] Embodiments of the present invention provide a method and device for detecting nodules, which are used to solve the problem of low efficiency in the prior art of judging whether nodules exist in medical images based on doctor's experience. [0004] On the one hand, an embodiment of the present invention provides a metho...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/46G06N3/04
CPCG06T7/0012G06T2207/10081G06T2207/30064G06V10/40G06N3/045
Inventor 魏子昆丁泽震华铱炜
Owner HANGZHOU YITU MEDIAL TECH CO LTD
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