Segmentation of Biological Cell Images for Sonification

TY - CONF

T1 - Segmentation of Biological Cell Images for Sonification

AU - Edwards, Alistair D. N.

AU - Hines, Genevieve

AU - Hunt, Andy

PY - 2008/5/1

Y1 - 2008/5/1

N2 - Cervical cancer is one of the most preventable/treatable forms of cancer, due to the fact that precursor signs for the disease can be detected in microscopic examination of cervical cells. Currently these examinations are purely visual, but the project reported aims to process the visual images to present them in a complementary auditory form and thereby to improve diagnostic accuracy. Standard mean-shift image processing techniques have been successfully applied to extract nuclear data suitable for presentation in an auditory form.

AB - Cervical cancer is one of the most preventable/treatable forms of cancer, due to the fact that precursor signs for the disease can be detected in microscopic examination of cervical cells. Currently these examinations are purely visual, but the project reported aims to process the visual images to present them in a complementary auditory form and thereby to improve diagnostic accuracy. Standard mean-shift image processing techniques have been successfully applied to extract nuclear data suitable for presentation in an auditory form.

UR - http://www.scopus.com/inward/record.url?scp=52049096800&partnerID=8YFLogxK

U2 - 10.1109/CISP.2008.751

DO - 10.1109/CISP.2008.751

M3 - Paper

SP - 128

EP - 132

T2 - Image and Signal Processing, 2008. CISP '08. Congress on

Y2 - 27 May 2008

ER -