Vaginal secretion wet sheet candida detection method based on Hough round detection and deep CNN (convolutional neural network)

Abstract

The invention discloses a vaginal secretion wet sheet candida detection method based on a Hough round detection and deep CNN (convolutional neural network). The method comprises the following steps of (1) by aiming at the round features (oval or 8 shape) of the candida, dividing a candidate region of the vaginal secretion wet sheet candida on the basis of a Hough round detection and morphological operation method; (2) performing feature extraction based on the deep CNN; (3) building a CNN-SVM (support vector machine)-based classification model, and realizing the candida identification. The image processing and recognition method based on the Hough round detection and deep CNN is used; the vaginal secretion wet sheet candida detection can be conveniently, economically and efficiently realized; the requirements of intelligence, high speed and high precision of the medical application can be met.

Description

technical field [0001] The invention relates to the research field of medical image processing and recognition, in particular to a method for detecting Candida in wet slices of vaginal secretions based on Hough circle detection and deep convolutional networks. Background technique [0002] Candida is a fungus. Candida albicans in Candida usually causes candidal vaginitis. Candidal vaginitis, also known as vulvovaginal candidiasis (VVC), is a common vaginal and vulvovaginal disease; The production of white blood cells is produced by women's body against their own gynecological inflammation; according to statistics, in the healthy women of childbearing age in the United States, the incidence of VVC is about 75%, including 5% of women suffering from recurrent vulvovaginal If the gynecological inflammation caused by it is not found and treated in time, it will lead to serious consequences such as female cervicitis and infertility; more serious ones may even suffer from gynecolog...

AI Technical Summary

Problems solved by technology

Therefore, how to apply the basic method of deep learning to achieve the purpose of target detection based on microscopic images remains to be developed.

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