Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

A simple method for automatically locating the nipple on mammograms

R Chandrasekhar¹, Y Attikiouzel

¹Department of Electrical and Electronic Engineering, University of Western Australia, Nedlands, Australia. gbercs@sgh.gov.sg

IEEE Transactions on Medical Imaging

|November 22, 1997

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Preclinical Evaluation and Clinical Trial of Chlorhexidine Polymer Scaffold for Vital Pulp Therapy.

The Journal of clinical pediatric dentistry·2019

Same author

Prevalence and risk factors of asymptomatic carotid artery stenosis in Indian population: An 8-year follow-up study.

Neurology India·2017

Same author

Occlusal Characteristics and Spacing in Primary Dentition: A Gender Comparative Cross-Sectional Study.

International scholarly research notices·2016

Same author

Oral health status and treatment needs of hearing impaired children attending a special school in Bhimavaram, India.

Indian journal of dental research : official publication of Indian Society for Dental Research·2016

Same author

Multiple Unerupted Permanent Teeth Associated with Noonan Syndrome.

Annals of medical and health sciences research·2015

Same author

Conservative management of large radicular cysts associated with non-vital primary teeth: a case series and literature review.

Journal of the Indian Society of Pedodontics and Preventive Dentistry·2015

This study presents a fast, accurate method for automatically locating the nipple on digital mammograms. The technique analyzes intensity gradients at the skin-air interface, achieving high precision for breast cancer screening.

Area of Science:

Medical Imaging
Radiology
Computer-Aided Diagnosis

Background:

Accurate nipple localization is crucial for consistent mammogram analysis.
Existing methods may lack speed, accuracy, or generalizability.

Purpose of the Study:

To develop and validate a simple, fast, and accurate automated method for nipple detection on digitized mammograms.

Main Methods:

The method computes the average gradient of intensity normal to the segmented skin-air interface.
Nipple location is determined by analyzing changes and extrema in this gradient parameter.

Main Results:

The algorithm successfully located the nipple in 96% of tested mammograms (23 out of 24).
Root-mean-square error was below 1 mm at resolutions of 400-420 microns/pixel.

Related Experiment Videos

Conclusions:

The proposed method is simple, fast, and accurate for automated nipple localization.
Its basis in mammographic intensity behavior and geometry suggests potential for widespread adoption.