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A marking method for an intelligent sperm morphology reading system

A sperm, intelligent technology, applied in image data processing, instruments, informatics and other directions, can solve the problems of easy eye fatigue, unstable conclusions, endangering health, etc., to improve the accuracy of conclusions, ensure output results, and improve the efficiency of reading images Effect

Inactive Publication Date: 2019-05-17
杭州大数云智科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] The existing sperm morphology reading methods have the following problems: viewing the slides under a microscope, the eyes are prone to fatigue, and long-term work is harmful to health; single-person reading, the results are too subjective and the conclusions are unstable; if the slides are not kept, Data discarded, conclusions cannot be retrospectively

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  • A marking method for an intelligent sperm morphology reading system
  • A marking method for an intelligent sperm morphology reading system
  • A marking method for an intelligent sperm morphology reading system

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Embodiment Construction

[0025] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0026] A labeling method for an intelligent film reading system for sperm morphology, which uses a segmentation method based on HSV color features to label an unprocessed image with high environmental noise and many target objects, ensuring that the In the case of the same dyeing color, the system can automatically mark the outline of sperm, so as to meet the needs of intelligent and unmanned medical diagnosis in the future.

[0027] like figure 1 As shown, it specifically includes the following steps:

[0028] S1) Under the environment of Python and openCV, perform HSV image conversion processing on the stained slide image.

[0029] S2) After obtaining the initialized HSV data, for a given coloring situation, set the part within the threshold range to white (255), set the part below the lower threshold or higher than the upper threshold to b...

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Abstract

The invention provides a marking method for an intelligent sperm morphology reading system. The marking method comprises the following steps of S1) carrying out HSV image conversion processing on a dyed slide image; S2) carrying out image binarization processing; S3) constructing a structural element of a 5*5 unit matrix, performing an operation of first expanding and then corroding the image, andextracting an image contour; S4) judging all the contours, and deleting the contours with the number of contained points smaller than a threshold value; and S5) excluding all contours which do not meet the requirements, updating the contour list, and finishing the drawing of the contour marks. The method has the advantages that a man-machine interaction solution of a whole set of radiograph reading process from sperm image generation to single sperm labeling, radiograph reading conclusion generation and multi-person cross radiograph reading is provided; the method aims to improve the intelligence and unmanned performance of medical film reading, and can be applied to various working environments needing to mark a large number of targets, such as the fields of bone detection, CT films andthe like.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a labeling method for an intelligent film reading system of sperm morphology. Background technique [0002] Sperm morphology is to understand the proportion of normal sperm and abnormal sperm within the physiological and pathological range, and it is an important indicator reflecting male fertility. With the development of medical science, the rapid rise of andrology, and the increase of infertility patients, simple semen routine examination can no longer meet the needs of clinical development, nor can it comprehensively and objectively reflect the real situation of patients, let alone evaluate testicular function . Guzick DS and others suggested that the medical profession revise the examination and diagnosis criteria for male infertility, proposing to use the morphology of sperm to reflect male fertility. [0003] The existing sperm morphology reading methods ...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/155G06T5/00G16H30/40
Inventor 马新强杨建党刘勇黄俊杰
Owner 杭州大数云智科技有限公司
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