NDLI: Follicle detection in ultrasound images of ovaries using active contours method

Content Provider	IEEE Xplore Digital Library
Author	Hiremath, P.S. Tegnoor, J.R.
Copyright Year	2010
Description	Author affiliation: Department of Studies and Research in Computer Science, Gulbarga University, 585106, Karnataka, India (Hiremath, P.S.; Tegnoor, J.R.)
Abstract	Knowledge about the status of the female reproductive system is important for fertility problems and age related family planning. The volume of these fertility requests in our emancipated society is steadily increasing. Transvaginal ultrasound imaging of the follicles in the ovary gives important information about the ovarian aging, i.e., number of follicles, size, position and response to hormonal stimulation. Manual analysis of many follicles is laborious and error-prone. In this paper, a new method for recognition of follicles in ultrasound images of ovaries is proposed. This fully automated segmentation method is based on active contours without edge method. The proposed technique is tested on ultrasonographic images of ovaries. The experimental results are compared with inferences drawn by medical expert and demonstrate the efficacy of the method.
Starting Page	286
Ending Page	291
File Size	534766
Page Count	6
File Format	PDF
ISBN	9781424485956
e-ISBN	9781424485949
DOI	10.1109/ICSIP.2010.5697484
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Ultrasonic imaging Geometric features Image edge detection Ovarian Follicle Recognition Active Contours Manuals Transforms Ultrasound Image Biomedical imaging Active contours
Content Type	Text
Resource Type	Article

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