TY - GEN
T1 - Segmentation of non-convex regions within uterine cervix images
AU - Gordon, Shiri
AU - Greenspan, Hayit
PY - 2007/11/27
Y1 - 2007/11/27
N2 - The National Cancer Institute has collected a large database of uterine cervix images, termed "cervigrams" for cervical cancer screening research. Tissues of interest within the cervigram, in particular the lesions, are of varying sizes and complex, non-convex shapes. The current work proposes a new methodology that enables the segmentation of non-convex regions, thus providing a major step forward towards cervigram tissue detection and lesion delineation. The framework transitions from pixels to a set of small coherent regions (superpixels), which are grouped bottom-up into larger, non-convex, perceptually similar regions, utilizing a new graph-cut criterion and agglomerative clustering. Superpixels similarity is computed via a combined region and boundary information measure. Results for a set of 120 cervigrams, manually marked by a medical expert, are shown.
AB - The National Cancer Institute has collected a large database of uterine cervix images, termed "cervigrams" for cervical cancer screening research. Tissues of interest within the cervigram, in particular the lesions, are of varying sizes and complex, non-convex shapes. The current work proposes a new methodology that enables the segmentation of non-convex regions, thus providing a major step forward towards cervigram tissue detection and lesion delineation. The framework transitions from pixels to a set of small coherent regions (superpixels), which are grouped bottom-up into larger, non-convex, perceptually similar regions, utilizing a new graph-cut criterion and agglomerative clustering. Superpixels similarity is computed via a combined region and boundary information measure. Results for a set of 120 cervigrams, manually marked by a medical expert, are shown.
KW - Cervicography images
KW - Graph algorithms
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=36348932179&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2007.356851
DO - 10.1109/ISBI.2007.356851
M3 - Conference contribution
AN - SCOPUS:36348932179
SN - 1424406722
SN - 9781424406722
T3 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
SP - 312
EP - 315
BT - 2007 4th IEEE International Symposium on Biomedical Imaging
T2 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Y2 - 12 April 2007 through 15 April 2007
ER -
