A breast mass image recognition method and device

An image recognition and mammary gland technology, applied in the field of image processing, can solve the problems of result influence, no information on the shape and size of the tumor, etc.

Inactive Publication Date: 2019-04-26
SHENZHEN INST OF ADVANCED TECH
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Manually extracting features depends on the professional and empirical knowledge of researchers, which often has certain limitations and subjectivity, and the results will be greatl

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  • A breast mass image recognition method and device
  • A breast mass image recognition method and device
  • A breast mass image recognition method and device

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Embodiment Construction

[0068] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0069] The breast lump image recognition method in this manual can be applied to the client or server, and the client can be a smart phone, a tablet computer, a smart wearable device (smart watch, virtual reality glasses, virtual reality helmet, etc.), a smart vehicle device and other electronic devices. equipment.

[0070] specific, figure 1 It is a schemati...

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Abstract

The invention provides a mammary gland mass image recognition method and device. The method comprises the steps that a mammary gland magnetic resonance image to be recognized is acquired; Inputting the mammary gland magnetic resonance image to be identified into a constructed mammary gland mass identification model to obtain a mass identification result in the mammary gland magnetic resonance image to be identified; Wherein the lump recognition model adopts a deep full convolutional neural network model; wherein the coding process of the deep full convolutional neural network model adopts a basic convolutional module in the U-shaped convolutional neural network model to perform feature extraction, and the decoding process of the deep full convolutional neural network model adopts dense connection to perform size unification on to-be-fused feature maps and then perform fusion. According to the embodiment of the invention, automatic recognition of the breast lumps is realized, and the recognition accuracy of the breast lumps is improved.

Description

technical field [0001] This specification belongs to the technical field of image processing, and in particular relates to a breast mass image recognition method and device. Background technique [0002] Breast cancer is the cancer with the highest incidence rate in women. The cure rate of early breast cancer is much higher than that of advanced breast cancer. Early detection, early diagnosis and early treatment are the key to reducing the mortality rate of breast cancer. Imaging examinations, including mammography, ultrasound, and magnetic resonance imaging, are common techniques for early breast cancer screening. Breast cancer screening can be performed by using the results of imaging examinations to identify breast masses. The size and shape of breast masses in different patients vary greatly, which brings great challenges to automatic segmentation methods, and mass segmentation is the first priority for all subsequent breast cancer diagnosis and treatment. Steps, so the...

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Application Information

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IPC IPC(8): G06K9/46G06N3/04
CPCG06V10/40G06V2201/03G06N3/045
Inventor 李程王珊珊郑海荣刘新梁栋
Owner SHENZHEN INST OF ADVANCED TECH
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