Morphological feature detection for cervical cancer screening

Ramkumar Narayanswamy; John P. Sharpe; Heather J. Duke; Rosemary J. Stewart; Kristina M. Johnson

doi:10.1117/12.205227

28 March 1995 Morphological feature detection for cervical cancer screening

Ramkumar Narayanswamy, John P. Sharpe, Heather J. Duke, Rosemary J. Stewart, Kristina M. Johnson

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205227
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

An optoelectronic system has been designed to pre-screen pap-smear slides and detect the suspicious cells using the hit/miss transform. Computer simulation of the algorithm tested on 184 pap-smear images detected 95% of the suspicious region as suspect while tagging just 5% of the normal regions as suspect. An optoelectronic implementation of the hit/miss transform using a 4f Vander-Lugt correlator architecture is proposed and demonstrated with experimental results.

Citation Download Citation

Ramkumar Narayanswamy, John P. Sharpe, Heather J. Duke, Rosemary J. Stewart, and Kristina M. Johnson "Morphological feature detection for cervical cancer screening", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205227

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