TY - GEN
T1 - Quantitative measurement for pathological change of pulley tissue from microscopic images via color-based segmentation
AU - Liu, Yung Chun
AU - Shih, Hui Hsuan
AU - Yang, Tai-Hua
AU - Yang, Hsiao Bai
AU - Yang, Dee Shan
AU - Sun, Yung-Nien
PY - 2012/3/27
Y1 - 2012/3/27
N2 - Measurement of pathological change in pulley tissue is an important index for trigger finger disease. However, the current measurement process is mostly based on manual estimation which is subjective and time-consuming. We hence propose an automatic method for quantitatively measuring the pathological change of pulley tissue from microscopic images. We first apply the color normalization to normalize all the acquired images. Then we use a three-stepped color segmentation process to extract the areas of diseased tissues. On the other hand, we also apply an active double thresholding scheme to segment the nuclei and extract shape features of nucleus. At last, the ratio of abnormal tissue area and the ratio of abnormal nuclei are calculated as the indices for the evaluation of trigger finger disease. The result showed good correlation between the expert judgments and the measured parameters.
AB - Measurement of pathological change in pulley tissue is an important index for trigger finger disease. However, the current measurement process is mostly based on manual estimation which is subjective and time-consuming. We hence propose an automatic method for quantitatively measuring the pathological change of pulley tissue from microscopic images. We first apply the color normalization to normalize all the acquired images. Then we use a three-stepped color segmentation process to extract the areas of diseased tissues. On the other hand, we also apply an active double thresholding scheme to segment the nuclei and extract shape features of nucleus. At last, the ratio of abnormal tissue area and the ratio of abnormal nuclei are calculated as the indices for the evaluation of trigger finger disease. The result showed good correlation between the expert judgments and the measured parameters.
UR - http://www.scopus.com/inward/record.url?scp=84863345542&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863345542&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-28493-9_50
DO - 10.1007/978-3-642-28493-9_50
M3 - Conference contribution
AN - SCOPUS:84863345542
SN - 9783642284922
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 476
EP - 485
BT - Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings
T2 - 4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012
Y2 - 19 March 2012 through 21 March 2012
ER -