PMID- 26921605
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20160721
LR  - 20170728
IS  - 1873-3557 (Electronic)
IS  - 1386-1425 (Linking)
VI  - 160
DP  - 2016 May 5
TI  - Diagnosis of cervical cancer cell taken from scanning electron and atomic force 
      microscope images of the same patients using discrete wavelet entropy energy and 
      Jensen Shannon, Hellinger, Triangle Measure classifier.
PG  - 39-49
LID - S1386-1425(16)30059-2 [pii]
LID - 10.1016/j.saa.2016.02.004 [doi]
AB  - The aim of this article is to provide early detection of cervical cancer by using 
      both Atomic Force Microscope (AFM) and Scanning Electron Microscope (SEM) images 
      of same patient. When the studies in the literature are examined, it is seen that 
      the AFM and SEM images of the same patient are not used together for early 
      diagnosis of cervical cancer. AFM and SEM images can be limited when using only 
      one of them for the early detection of cervical cancer. Therefore, multi-modality 
      solutions which give more accuracy results than single solutions have been 
      realized in this paper. Optimum feature space has been obtained by Discrete 
      Wavelet Entropy Energy (DWEE) applying to the 3x180 AFM and SEM images. Then, 
      optimum features of these images are classified with Jensen Shannon, Hellinger, 
      and Triangle Measure (JHT) Classifier for early diagnosis of cervical cancer. 
      However, between classifiers which are Jensen Shannon, Hellinger, and triangle 
      distance have been validated the measures via relationships. Afterwards, accuracy 
      diagnosis of normal, benign, and malign cervical cancer cell was found by 
      combining mean success rates of Jensen Shannon, Hellinger, and Triangle Measure 
      which are connected with each other. Averages of accuracy diagnosis for AFM and 
      SEM images by averaging the results obtained from these 3 classifiers are found 
      as 98.29% and 97.10%, respectively. It has been observed that AFM images for 
      early diagnosis of cervical cancer have higher performance than SEM images. Also 
      in this article, surface roughness of malign AFM images in the result of the 
      analysis made for the AFM images, according to the normal and benign AFM images 
      is observed as larger, If the volume of particles has found as smaller.
CI  - Copyright (c) 2016 Elsevier B.V. All rights reserved.
FAU - Aytac Korkmaz, Sevcan
AU  - Aytac Korkmaz S
AD  - Engineering Faculty, Department of Electrical-Electronic Engineering, Firat 
      University, 23100 Elazig, Turkey. Electronic address: 
      sevcanaytackorkmaz@gmail.com.
LA  - eng
PT  - Journal Article
PT  - Retracted Publication
DEP - 20160216
PL  - England
TA  - Spectrochim Acta A Mol Biomol Spectrosc
JT  - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
JID - 9602533
RIN - Spectrochim Acta A Mol Biomol Spectrosc. 2017 Jan 5;170:267. PMID: 27576589
OTO - NOTNLM
OT  - Cervical cell images
OT  - Discrete wavelet transform feature extraction
OT  - Hellinger and Triangle Measure
OT  - Jensen Shannon Divergence
OT  - Scanning electron and atomic force microscope
EDAT- 2016/02/28 06:00
MHDA- 2016/02/28 06:01
CRDT- 2016/02/28 06:00
PHST- 2016/01/27 00:00 [received]
PHST- 2016/02/11 00:00 [accepted]
PHST- 2016/02/28 06:00 [entrez]
PHST- 2016/02/28 06:00 [pubmed]
PHST- 2016/02/28 06:01 [medline]
AID - S1386-1425(16)30059-2 [pii]
AID - 10.1016/j.saa.2016.02.004 [doi]
PST - ppublish
SO  - Spectrochim Acta A Mol Biomol Spectrosc. 2016 May 5;160:39-49. doi: 
      10.1016/j.saa.2016.02.004. Epub 2016 Feb 16.