vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffd6111f000000b9e6040001000100 The majority of the women of the world were affected by the disease of cervical cancer. As a result of this disease, their death rate was increase as hasty level. Hence so many number of research people was focused this notion as their research interest and also they have done so many number of solutions for finding this cancer by using some image processing technique and achieved a good results only in advanced and high cost techniques of LBC, biopsy or Colposcopy test Images. Therefore the reason, the authors have chosen this problem and also did not only to find whether the patient is affected by a cancer or not. In addition to the patient was affected by this cancer means and also to identify which severity stage of this disease the patient could be live. Then this work has done in based on the images of low cost pap smear screening test by using various image processing techniques with the help of Computerized Image Processing Software Interactive Data Language (IDL-Image Processing Language). Thus the final reports would be very useful to the pathologists for further analysis.
S. Athinarayanan1, M.V. Srinath2, R. Kavitha3
Manonmaniam Sundaranar University, India1, Sengamala Thayaar Educational Trust Women’s College, India2, PSN College of Engineering and Technology, India3
Cancer, Cervical Cancer, Nuclei Segmentation, Feature Identification, Classification
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 6 , Issue: 4 , Pages: 1244-1251 )
Date of Publication :
May 2016
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211
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