Digital slice classification method and device

A technology of digital slicing and classification methods, applied in the field of digital pathology, can solve problems such as the inability to achieve full-field image-level diagnosis

Active Publication Date: 2019-10-08
杭州迪英加科技有限公司
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Problems solved by technology

[0005] The embodiment of the present invention provides a digital slice classification method and device to at least solve the technical probl

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  • Digital slice classification method and device

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Embodiment Construction

[0016] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0017] It should be noted that the terms "first" and "second" in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence. It should be understood that the data used in this way can be interchanged under ap...

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Abstract

The invention discloses a digital slice classification method and device. The method comprises the following steps: obtaining a full-field graph of a digital slice; based on a pre-trained cell detection model, detecting at least one target cell contained in the whole field diagram; positioning a target area containing target cells in the whole field map, the target area comprising one or more target cells; based on a feature fusion model of an attention mechanism, determining features of the full-field image according to features of a target area in the full-field image; and based on a pre-trained full-field graph classification model, determining the type of the digital slice according to the characteristics of the full-field graph. According to the method, the technical effect of classifying the digital slices based on the full-field graph is achieved.

Description

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Claims

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Application Information

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Owner 杭州迪英加科技有限公司
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