Open access peer-reviewed chapter

Follicle Detection and Ovarian Classification in Digital Ultrasound Images of Ovaries

By P. S. Hiremath and Jyothi R. Tegnoor

Submitted: May 22nd 2012Reviewed: April 8th 2013Published: June 5th 2013

DOI: 10.5772/56518

Downloaded: 3923

© 2013 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

P. S. Hiremath and Jyothi R. Tegnoor (June 5th 2013). Follicle Detection and Ovarian Classification in Digital Ultrasound Images of Ovaries, Advancements and Breakthroughs in Ultrasound Imaging Gunti Gunarathne, IntechOpen, DOI: 10.5772/56518. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

3923total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Speckle Noise Reduction in Medical Ultrasound Images

By P.S. Hiremath, Prema T. Akkasaligar and Sharan Badiger

Related Book

First chapter

Introduction to Infrared Spectroscopy in Life and Biomedical Sciences

By Theophile Theophanides

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us