PMID- 25023651
OWN - NLM
STAT- MEDLINE
DCOM- 20150413
LR  - 20211021
IS  - 1573-689X (Electronic)
IS  - 0148-5598 (Linking)
VI  - 38
IP  - 9
DP  - 2014 Sep
TI  - A new method based for diagnosis of breast cancer cells from microscopic images: 
      DWEE--JHT.
PG  - 92
LID - 10.1007/s10916-014-0092-3 [doi]
AB  - In these days, there are many various diseases, whose diagnosis is very hardly. 
      Breast cancer is one of these type diseases. In this paper, accuracy diagnosis of 
      normal, benign, and malign breast cancer cell were found by combining mean 
      success rates Jensen Shannon, Hellinger, and Triangle measure which connected 
      with each other. In this article, an diagnostic method based on feature 
      extraction Discrete Wavelet Entropy Energy (DWEE) and Jensen Shannon, Hellinger, 
      Triangle Measure (JHT) Classifier for diagnosis of breast cancer. This diagnosis 
      method is called as DWEE--JHT this paper. With this diagnosis method have found 
      optimal feature subset using discrete wavelet transform feature extraction. Then 
      these convenient features are given to Jensen Shannon, Hellinger, Triangle 
      Measure (JHT) classifier. Then, between classifiers which are Jensen Shannon, 
      Hellinger, and triangle distance have been validated the measures via 
      relationships. Afterwards, breast cancer cells are classified using Jensen 
      Shannon, Hellinger, and Triangle distance. Mean success rate of 16 feature vector 
      with Jensen Shannon classifier is found % 97.81. Mean success rate of 16 feature 
      vector with Hellinger classifier is found % 97.75. Mean success rate of 16 
      feature vector with Triangle classifier is found % 97.87. By averaging of results 
      obtained from these 3 classifiers are found as 97.81 % average of accuracy 
      diagnosis.
FAU - Korkmaz, S Aytac
AU  - Korkmaz SA
AD  - Department of Electrical-Electronic Engineering, Engineering Faculty, Firat 
      University, 23100, Elazig, Turkey, sevcanaytackorkmaz@gmail.com.
FAU - Poyraz, M
AU  - Poyraz M
LA  - eng
PT  - Journal Article
DEP - 20140715
PL  - United States
TA  - J Med Syst
JT  - Journal of medical systems
JID - 7806056
SB  - IM
MH  - *Algorithms
MH  - Breast Neoplasms/classification/*pathology
MH  - Cells/pathology
MH  - *Diagnosis, Computer-Assisted
MH  - Entropy
MH  - Female
MH  - Humans
MH  - *Microscopy
MH  - *Wavelet Analysis
EDAT- 2014/07/16 06:00
MHDA- 2015/04/14 06:00
CRDT- 2014/07/16 06:00
PHST- 2014/04/01 00:00 [received]
PHST- 2014/06/04 00:00 [accepted]
PHST- 2014/07/16 06:00 [entrez]
PHST- 2014/07/16 06:00 [pubmed]
PHST- 2015/04/14 06:00 [medline]
AID - 10.1007/s10916-014-0092-3 [doi]
PST - ppublish
SO  - J Med Syst. 2014 Sep;38(9):92. doi: 10.1007/s10916-014-0092-3. Epub 2014 Jul 15.