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Microscopic image cell identification method and device based on multi-task learning

A multi-task learning and microscopic image technology, applied in the field of microscopic image cell recognition method and device based on multi-task learning, can solve the problems of low precision and slow speed, and achieve the effect of ensuring accuracy

Active Publication Date: 2020-08-11
湖南国科智瞳科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a microscopic image cell recognition method and device based on multi-task learning, which is used to overcome the defects of low precision and slow speed in the prior art

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  • Microscopic image cell identification method and device based on multi-task learning
  • Microscopic image cell identification method and device based on multi-task learning
  • Microscopic image cell identification method and device based on multi-task learning

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Embodiment Construction

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but must be based on the realization by those of ordinary skill in the art. When the combination of technical solutions is contradictory or cannot be realized, it should be considered that the combination of technical solutions does not exist and is not within the scope of protection claimed by the prese...

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Abstract

The invention discloses a microscopic image cell identification method based on multi-task learning. The method comprises the following steps: firstly, labeling an acquired microscopic image by adopting a multi-labeling mode; then segmenting the microscopic image containing the multiple labels to form a training set; training a pre-constructed cell identification model by utilizing the training set containing the multiple labels; and finally, carrying out cell identification on the microscopic image to be identified by utilizing the trained cell identification model to obtain the category andthe characteristic attribute of each cell in the microscopic image to be identified. Compared with the prior art, the method provided by the invention adopts a multi-labeling mode to label the microscopic image, so that the model obtained by training can realize multi-detection, and the multi-detection can ensure the accuracy of a final detection result.

Description

technical field [0001] The invention relates to the technical field of medical images, in particular to a method and device for recognizing cells in microscopic images based on multi-task learning. Background technique [0002] With the development and maturity of computer technology and medical technology, the automatic analysis technology of microscopic images that combines the two emerges as the times require, and has attracted widespread attention. Microscopic image automatic analysis technology is an important method for medical auxiliary diagnosis. It can diagnose the disease quantitatively and qualitatively, and find the source and cause of the disease faster and more directly, thereby improving the work efficiency of pathologists, reducing work intensity and shortening patient visits. time. In clinical application, gynecological cervical scraping analysis, leucorrhea wet film microscopic image analysis, urine sediment cell composition analysis, blood red and white b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10056G06T2207/20081G06T2207/20084G06T2207/30024G06V20/698G06N3/047G06N3/045G06F18/241G06F18/2415
Inventor 谷秀娟许会
Owner 湖南国科智瞳科技有限公司
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