TY - GEN
T1 - An automated image segmentation and classification algorithm for immunohistochemically stained tumor cell nuclei
AU - Yeo, Hangu
AU - Sheinin, Vadim
AU - Sheinin, Yuri
PY - 2009
Y1 - 2009
N2 - As medical image data sets are digitized and the number of data sets is increasing exponentially, there is a need for automated image processing and analysis technique. Most medical imaging methods require human visual inspection and manual measurement which are labor intensive and often produce inconsistent results. In this paper, we propose an automated image segmentation and classification method that identifies tumor cell nuclei in medical images and classifies these nuclei into two categories, stained and unstained tumor cell nuclei. The proposed method segments and labels individual tumor cell nuclei, separates nuclei clusters, and produces stained and unstained tumor cell nuclei counts. The representative fields of view have been chosen by a pathologist from a known diagnosis (clear cell renal cell carcinoma), and the automated results are compared with the hand-counted results by a pathologist.
AB - As medical image data sets are digitized and the number of data sets is increasing exponentially, there is a need for automated image processing and analysis technique. Most medical imaging methods require human visual inspection and manual measurement which are labor intensive and often produce inconsistent results. In this paper, we propose an automated image segmentation and classification method that identifies tumor cell nuclei in medical images and classifies these nuclei into two categories, stained and unstained tumor cell nuclei. The proposed method segments and labels individual tumor cell nuclei, separates nuclei clusters, and produces stained and unstained tumor cell nuclei counts. The representative fields of view have been chosen by a pathologist from a known diagnosis (clear cell renal cell carcinoma), and the automated results are compared with the hand-counted results by a pathologist.
KW - Immunohistochemistry
KW - Medical image segmentation and analysis and digital pathology
UR - http://www.scopus.com/inward/record.url?scp=71649114538&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=71649114538&partnerID=8YFLogxK
U2 - 10.1117/12.811185
DO - 10.1117/12.811185
M3 - Conference contribution
AN - SCOPUS:71649114538
SN - 9780819475107
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2009 - Image Processing
T2 - Medical Imaging 2009 - Image Processing
Y2 - 8 February 2009 through 10 February 2009
ER -