Slide scanning image acquisition and analysis method and device

A technology of image acquisition and analysis method, applied in the direction of neural learning method, biological neural network model, instrument, etc., can solve the problem of extremely high accuracy of recognition algorithm, achieve reduced calculation and scanning time, good robustness, and improve work efficiency effect

Active Publication Date: 2020-06-12
湖南国科智瞳科技有限公司
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Problems solved by technology

[0005] The present invention provides a slide scanning image acquisition and analysis method and device, which are used to overcome the accuracy requirements of the recognition algorithm caused b

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  • Slide scanning image acquisition and analysis method and device
  • Slide scanning image acquisition and analysis method and device
  • Slide scanning image acquisition and analysis method and device

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Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0033] In addition, the technical solutions of the various embodiments of the present invention can be combined with each other, but it must be based on the realization of those skilled in the art. When the combination of technical solutions is contradictory or cannot be realized, it should be considered as a combination of technical solutions. Does not exist, nor is it within the scope of protection required by the present invention.

[0034] The pre...

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Abstract

The invention discloses a slide scanning image acquisition and analysis method. The method comprises the steps: acquiring and marking a slide sample; performing mark recognition and preview on the slide sample to obtain a preview image; identifying the preview image to obtain a scanning area of the preview image; sequentially scanning each visual field area of the scanning area to obtain a difference image of the visual field areas; calculating the out-of-focus distance value of the difference image through a convolutional neural network model, and determining the optimal focal plane positionof each visual field area; sequentially moving each visual field area to the optimal focal plane position and scanning to obtain a microscopic image under each visual field, and splicing the microscopic images into a digital microscopic image; and marking a suspicious lesion cell region in the digital microscopic image and marking a possible lesion type through a cell identification classificationnetwork. The method provided by the invention does not completely depend on the experience and business level of a single doctor and does not completely depend on the recognition precision of the recognition algorithm, and is high in speed and high in precision.

Description

technical field [0001] The invention relates to the technical field of microscopic imaging and intelligent identification of pathological slices, in particular to a method and device for scanning slide image acquisition and analysis. Background technique [0002] Pathological examination is a pathomorphological method used to examine pathological changes in body organs, tissues or cells. Traditional pathological examinations use optical microscopes and human glasses, which rely heavily on the experience and professional level of a single doctor. There is a certain probability of false detection, not only the detection efficiency is low, but also the storage and carrying of tissue samples is extremely inconvenient. In addition, as the number of slides increases, the cost of storage and management of slides is also increasing. Moreover, some stained or labeled specimens will change over time, making it difficult to achieve small and long-term preservation. [0003] In recent...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/693G06V20/695G06V20/698G06V2201/03G06N3/045
Inventor 向北海张泰许会
Owner 湖南国科智瞳科技有限公司
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