TY - JOUR
T1 - Segmentation and classification of cervix lesions by pattern and texture analysis
AU - Srinivasan, Yeshwanth
AU - Gao, Fei
AU - Tulpule, Bhakti
AU - Yang, Shuyu
AU - Mitra, Sunanda
AU - Nutter, Brian
PY - 2006
Y1 - 2006
N2 - This work aims at automated segmentation of major lesions observed in early stages of uterine cervical cancer. Automated segmentation reduces subjective variability and cost in current manual evaluation methods used to determine the biopsy locations for diagnosis. Two different methods, a non-convex optimisation approach and mathematical morphological approach, are used to segment the aceto-white region. Within this region other abnormalities, such as mosaic patterns, are classified by fuzzy c-means using a textural feature obtained from skeletonised vascular structures. These vascular structures are extracted by a series of morphological operations. Minimisation of uncertainties for degraded images is also discussed.
AB - This work aims at automated segmentation of major lesions observed in early stages of uterine cervical cancer. Automated segmentation reduces subjective variability and cost in current manual evaluation methods used to determine the biopsy locations for diagnosis. Two different methods, a non-convex optimisation approach and mathematical morphological approach, are used to segment the aceto-white region. Within this region other abnormalities, such as mosaic patterns, are classified by fuzzy c-means using a textural feature obtained from skeletonised vascular structures. These vascular structures are extracted by a series of morphological operations. Minimisation of uncertainties for degraded images is also discussed.
KW - automated segmentation
KW - cervix lesions
KW - classification
KW - fuzzy c-means
KW - morphological operators
KW - texture analysis
KW - uncertainties
UR - http://www.scopus.com/inward/record.url?scp=46449113362&partnerID=8YFLogxK
U2 - 10.1504/ijista.2006.009906
DO - 10.1504/ijista.2006.009906
M3 - Article
AN - SCOPUS:46449113362
VL - 1
SP - 234
EP - 246
JO - International Journal of Intelligent Systems Technologies and Applications
JF - International Journal of Intelligent Systems Technologies and Applications
SN - 1740-8865
IS - 3-4
ER -