PMID- 25977706
OWN - NLM
STAT- MEDLINE
DCOM- 20151027
LR  - 20191210
IS  - 1748-6718 (Electronic)
IS  - 1748-670X (Print)
IS  - 1748-670X (Linking)
VI  - 2015
DP  - 2015
TI  - MRI brain images healthy and pathological tissues classification with the aid of 
      improved particle swarm optimization and neural network.
PG  - 807826
LID - 10.1155/2015/807826 [doi]
LID - 807826
AB  - The advantages of magnetic resonance imaging (MRI) over other diagnostic imaging 
      modalities are its higher spatial resolution and its better discrimination of 
      soft tissue. In the previous tissues classification method, the healthy and 
      pathological tissues are classified from the MRI brain images using HGANN. But 
      the method lacks sensitivity and accuracy measures. The classification method is 
      inadequate in its performance in terms of these two parameters. So, to avoid 
      these drawbacks, a new classification method is proposed in this paper. Here, new 
      tissues classification method is proposed with improved particle swarm 
      optimization (IPSO) technique to classify the healthy and pathological tissues 
      from the given MRI images. Our proposed classification method includes the same 
      four stages, namely, tissue segmentation, feature extraction, heuristic feature 
      selection, and tissue classification. The method is implemented and the results 
      are analyzed in terms of various statistical performance measures. The results 
      show the effectiveness of the proposed classification method in classifying the 
      tissues and the achieved improvement in sensitivity and accuracy measures. 
      Furthermore, the performance of the proposed technique is evaluated by comparing 
      it with the other segmentation methods.
FAU - Sheejakumari, V
AU  - Sheejakumari V
AD  - Department of Information Technology, Rajaas Engineering College, Tirunelveli, 
      Vadakkangulam, Tamil Nadu 627116, India.
FAU - Sankara Gomathi, B
AU  - Sankara Gomathi B
AD  - Department of Electronics & Instrumentation Engineering, National Engineering 
      College, Kovilpatti, Tamil Nadu 628503, India.
LA  - eng
PT  - Journal Article
DEP - 20150422
PL  - United States
TA  - Comput Math Methods Med
JT  - Computational and mathematical methods in medicine
JID - 101277751
SB  - IM
MH  - Algorithms
MH  - Artificial Intelligence
MH  - Brain/*pathology/physiology
MH  - Diagnosis, Computer-Assisted/*methods
MH  - Humans
MH  - Image Processing, Computer-Assisted/*methods
MH  - Magnetic Resonance Imaging/*methods
MH  - Models, Statistical
MH  - Neural Networks, Computer
MH  - Pattern Recognition, Automated
MH  - Reproducibility of Results
MH  - Sensitivity and Specificity
PMC - PMC4421103
EDAT- 2015/05/16 06:00
MHDA- 2015/10/28 06:00
PMCR- 2015/04/22
CRDT- 2015/05/16 06:00
PHST- 2014/07/16 00:00 [received]
PHST- 2015/01/21 00:00 [revised]
PHST- 2015/02/16 00:00 [accepted]
PHST- 2015/05/16 06:00 [entrez]
PHST- 2015/05/16 06:00 [pubmed]
PHST- 2015/10/28 06:00 [medline]
PHST- 2015/04/22 00:00 [pmc-release]
AID - 10.1155/2015/807826 [doi]
PST - ppublish
SO  - Comput Math Methods Med. 2015;2015:807826. doi: 10.1155/2015/807826. Epub 2015 
      Apr 22.