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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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  • Abstract
  • Description
  • Claims
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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 problem that the existing research on digital slices can only be classified at the cell level and cannot be diagnosed at the full-field image level

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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

Technical field [0001] The present invention relates to the field of digital pathology, in particular to a digital slice classification method and device. Background technique [0002] The study of traditional pathological slices is diagnosed by pathologists based on their own experience under a microscope. It completely relies on the pathologist’s personal experience. Due to limited manual efficiency, it is inevitable that there will be misdiagnosis or missed diagnosis due to fatigue. [0003] The emergence of digital slices is of great significance to pathological research. By segmenting the cells in the digital slice and using artificially designed features to classify the segmented cells, it can be determined that there are cancerous cells in the digital slice. However, the existing research on digital slices can only perform cell-level classification, and cannot achieve full-field map-level diagnosis. [0004] In view of the above-mentioned existing research on digital slices,...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/187G06K9/62
CPCG06T7/0012G06T7/11G06T7/187G06T2207/10056G06T2207/20081G06T2207/20084G06T2207/30024G06F18/241
Inventor 谢园普陈平君杨林
Owner 杭州迪英加科技有限公司
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