Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Automatic identification of fungi in microscopic leucorrhea images

Not Accessible

Your library or personal account may give you access

Abstract

Identifying fungi in microscopic leucorrhea images provides important information for evaluating gynecological diseases. Subjective judgment and fatigue can greatly affect recognition accuracy. This paper proposes an automatic identification system to detect fungi in leucorrhea images that incorporates a convolutional neural network, the histogram of oriented gradients algorithm, and a binary support vector machine. In experiments, the detection rate of the positive samples was as high as 99.8%. The experimental results demonstrate the effectiveness of the proposed method and its potential as a primary software component of a completely automated system.

© 2017 Optical Society of America

Full Article  |  PDF Article
More Like This
Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi

Sifan Lin, Xiaolin Bi, Siqi Zhu, Hao Yin, Zhen Li, and Chenqiang Chen
Biomed. Opt. Express 9(9) 4496-4508 (2018)

Cytopathological image analysis using deep-learning networks in microfluidic microscopy

G. Gopakumar, K. Hari Babu, Deepak Mishra, Sai Siva Gorthi, and Gorthi. R. K. Sai Subrahmanyam
J. Opt. Soc. Am. A 34(1) 111-121 (2017)

Leukocyte recognition in human fecal samples using texture features

Xiangzhou Wang, Lin Liu, Xiaohui Du, Jing Zhang, Juanxiu Liu, Guangming Ni, Ruqian Hao, and Yong Liu
J. Opt. Soc. Am. A 35(11) 1941-1948 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (10)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved