PMID- 19405715
OWN - NLM
STAT- MEDLINE
DCOM- 20090715
LR  - 20190930
IS  - 1083-3668 (Print)
IS  - 1083-3668 (Linking)
VI  - 14
IP  - 2
DP  - 2009 Mar-Apr
TI  - Automated detection and analysis of fluorescent in situ hybridization spots 
      depicted in digital microscopic images of Pap-smear specimens.
PG  - 021002
LID - 10.1117/1.3081545 [doi]
AB  - Fluorescence in situ hybridization (FISH) technology has been widely recognized 
      as a promising molecular and biomedical optical imaging tool to screen and 
      diagnose cervical cancer. However, manual FISH analysis is time-consuming and may 
      introduce large inter-reader variability. In this study, a computerized scheme is 
      developed and tested. It automatically detects and analyzes FISH spots depicted 
      on microscopic fluorescence images. The scheme includes two stages: (1) a 
      feature-based classification rule to detect useful interphase cells, and (2) a 
      knowledge-based expert classifier to identify splitting FISH spots and improve 
      the accuracy of counting independent FISH spots. The scheme then classifies 
      detected analyzable cells as normal or abnormal. In this study, 150 FISH images 
      were acquired from Pap-smear specimens and examined by both an experienced 
      cytogeneticist and the scheme. The results showed that (1) the agreement between 
      the cytogeneticist and the scheme was 96.9% in classifying between analyzable and 
      unanalyzable cells (Kappa=0.917), and (2) agreements in detecting normal and 
      abnormal cells based on FISH spots were 90.5% and 95.8% with Kappa=0.867. This 
      study demonstrated the feasibility of automated FISH analysis, which may 
      potentially improve detection efficiency and produce more accurate and consistent 
      results than manual FISH analysis.
FAU - Wang, Xingwei
AU  - Wang X
AD  - University of Oklahoma, School of Electrical and Computer Engineering, Center for 
      Bioengineering, Norman, Oklahma 73019, USA.
FAU - Zheng, Bin
AU  - Zheng B
FAU - Li, Shibo
AU  - Li S
FAU - Zhang, Roy
AU  - Zhang R
FAU - Mulvihill, John J
AU  - Mulvihill JJ
FAU - Chen, Wei R
AU  - Chen WR
FAU - Liu, Hong
AU  - Liu H
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - J Biomed Opt
JT  - Journal of biomedical optics
JID - 9605853
SB  - IM
MH  - Algorithms
MH  - *Artificial Intelligence
MH  - Female
MH  - Humans
MH  - Image Enhancement/methods
MH  - Image Interpretation, Computer-Assisted/*methods
MH  - In Situ Hybridization, Fluorescence/*methods
MH  - Microscopy, Fluorescence/*methods
MH  - *Papanicolaou Test
MH  - Pattern Recognition, Automated/*methods
MH  - Reproducibility of Results
MH  - Sensitivity and Specificity
MH  - Signal Processing, Computer-Assisted
MH  - Uterine Cervical Neoplasms/*pathology
MH  - Vaginal Smears/*methods
EDAT- 2009/05/02 09:00
MHDA- 2009/07/16 09:00
CRDT- 2009/05/02 09:00
PHST- 2009/05/02 09:00 [entrez]
PHST- 2009/05/02 09:00 [pubmed]
PHST- 2009/07/16 09:00 [medline]
AID - 10.1117/1.3081545 [doi]
PST - ppublish
SO  - J Biomed Opt. 2009 Mar-Apr;14(2):021002. doi: 10.1117/1.3081545.