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Cancer pathology auxiliary diagnosis method based on artificial intelligence technology

An artificial intelligence, auxiliary diagnosis technology, applied in medical automation diagnosis, computer-aided medical procedures, biological neural network models, etc., can solve the problem of low accuracy of digital pathological diagnosis of cancer, and achieve auxiliary cancer pathological information and high diagnosis accuracy. Effect

Inactive Publication Date: 2018-07-17
云鲲医疗科技(上海)有限公司
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method for auxiliary diagnosis of cancer pathology based on artificial intelligence technology, which can solve the technical problem of low accuracy of machine learning in the digital pathology diagnosis of cancer in the prior art

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  • Cancer pathology auxiliary diagnosis method based on artificial intelligence technology

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Embodiment Construction

[0024] The following clearly and completely describes the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, but 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 making creative efforts belong to the protection scope of the present invention.

[0025] Such as figure 1 As shown, a method for auxiliary diagnosis of cancer pathology based on artificial intelligence technology, comprising the following steps:

[0026] Step 1: Use a slide scanner or a pathological tissue scanning system to scan a certain number of digital pathological images into the computer, and pathologists mark the lesion areas in the digital pathological images to form a digital pathological image database;

[0027] Step 2: After the digital pathological images in the digital pathological image database a...

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Abstract

The present invention discloses a cancer pathology auxiliary diagnosis method based on an artificial intelligence technology. The method comprises the following steps of: canning a plurality of digital pathology images of a system into a computer, performing marking of diseased areas by pathologists to form a digital pathology image database; performing preprocessing of the digital pathology images to form a data set for algorithm training, performing sample collection, and forming a data subset for training; allowing a full convolutional network to use the data subset for training to performiteration training to regulate parameters, and constructing an artificial intelligence analysis module; scanning diagnosis pathology images, and decoding the diagnosis pathology images to access the artificial intelligence analysis module; and performing diagnosis and marking of the diagnosis pathology images by employing the artificial intelligence analysis module, and performing feedback of themarked pathology information to doctors. The cancer pathology auxiliary diagnosis method based on the artificial intelligence technology is high in diagnosis accuracy and can effectively assist doctors in discrimination of cancer pathology information.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an auxiliary diagnosis method for cancer pathology based on artificial intelligence technology. Background technique [0002] Conventional cancer diagnosis is based on the analysis of cells and tissue samples from tumors or tissue suspicious for tumors. Individual cells or groups of cells can be identified by tissue staining. Routine diagnosis relies on analysis of morphological features, such as changes in cell shape, size, and staining traits, and irregularities in tissue architecture. Therefore, cancer diagnosis is a subjective judgment of morphological variation that differs from corresponding normal tissues. Correct and reliable diagnostic skills require extensive experience. Cases between cancer and precancerous lesions and precancerous and noncancerous lesions present a challenge to even the most experienced pathologists and cytologists. Thi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/50G16H50/20G06N3/04
CPCG06N3/045
Inventor 周晓光孙沐毅张冠宏党豪张文宝韩凯
Owner 云鲲医疗科技(上海)有限公司
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