PMID- 18754417
OWN - NLM
STAT- MEDLINE
DCOM- 20120319
LR  - 20161124
IS  - 1671-7104 (Print)
IS  - 1671-7104 (Linking)
VI  - 32
IP  - 3
DP  - 2008 May
TI  - [An algorithm of nodule detection based on high resolution CT images].
PG  - 175-8
AB  - Combining the speed of two-dimensional detection with the precision of 
      three-dimensional detection, an automatic algorithm based on high resolution CT 
      images is proposed to identify nodules in this paper. Nodule candidates are 
      extracted by a two-dimensional convergence index (CI) filter, then a 
      three-dimensional Hessian matrix detection filter is introduced to reduce false 
      positive lung nodules, Experiments show that the algorithm is effective with a 
      sensitivity of 90% and the false positive lung nodules per slice is 0.33.
FAU - Wu, Long-Hai
AU  - Wu LH
AD  - Department of Automation, USTC, Hefei. wlhai@mail.ustc.edu.cn
FAU - Zhou, He-Qin
AU  - Zhou HQ
FAU - Li, Chuan-Fu
AU  - Li CF
LA  - chi
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - China
TA  - Zhongguo Yi Liao Qi Xie Za Zhi
JT  - Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
JID - 9426153
SB  - IM
MH  - *Algorithms
MH  - False Positive Reactions
MH  - Humans
MH  - Sensitivity and Specificity
MH  - Solitary Pulmonary Nodule/*diagnostic imaging
MH  - Tomography, X-Ray Computed/*methods
EDAT- 2008/08/30 09:00
MHDA- 2012/03/20 06:00
CRDT- 2008/08/30 09:00
PHST- 2008/08/30 09:00 [pubmed]
PHST- 2012/03/20 06:00 [medline]
PHST- 2008/08/30 09:00 [entrez]
PST - ppublish
SO  - Zhongguo Yi Liao Qi Xie Za Zhi. 2008 May;32(3):175-8.