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The Diagnosis And Analysis On The Skin Cancer Detection Using Pattern Recognition Technology

Pratibha Sao Bharat Choudhary Vinay Pandey

Subject area: Science,Engineering and Technology  ·  Area of research: Computer Science Engineering

Abstract

Today biggest problem is faced by person and the main factor are responsible like lack of research, monitoring, health checkup and control system. The growing high compatibility rates for different type cancer and the surviving of the disease have never been better. The good number recent approximation of the 5 to 10-year family member continued existence rate across all type of cancers and all infection stages is 65%. This figure soar to over 90% for some of the most common cancers if they are detect premature (e.g., prostate, breast, and colon). The high occurrence charge and good continued survival rates encompass resulted in over 9 million cancer survivors at present breathing in the combined state this information has spur a major do research effort into strategy to improve quality of life (QOL), lessen the danger of reappearance and other disease and make bigger continued continuation in this inhabitants. The reason of this document is to give an overview of the possible position of physical work out in this attempt, More specifically, we will make available a concise general idea of premature cancer detection and their personal property on QOL, recapitulate the available research on exercise in cancer survivors, recently we done with experiment and propose information potential do research on skin cancer incidentally all the way through this paper

Keywords

cancer survival, contrast enhancement, Pattern recognition, retinex algorithms.

References

[1] Maryvonne Miquel and Anne Tchounikine, “Software Components Integration in Medical Data Warehouses:a Proposal,” Proceedings of the 15 th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002) 1063-7125/02 $17.00 IEEE.

[2] Daniel Ramot, Menahem Friedman, Gideon Langholz, and Abraham Kandel, “Complex Fuzzy Logic,” 1063-6706/03$17.00 IEEE.

[3] PasiLuukka and TapioLepp¨alampi, “Similarity Classifier with generalized mean applied to medical data using different preprocessing methods”, 0-7803-9158- 6/05/$20.00

[4] MykolaPechenizkiy, Alexey Tsymbal and SeppoPuuronen, “Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis,” Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS’05) 1063-7125/05 $20.00

[5] Shoji Hirano and ShusakuTsumoto, “Strucutural Comparison and Cluster Analysis of Time-Series Medical Data”.

[6] S. Cavuto and E.Grossi, “The fuzzy nature of health and disease,” 1-4244-0363- 4/06/$20.00

[7] Nikhil R. Pal, “A fuzzy rule based approach to identify biomarkers for diagnostic classification of cancers,” 1-4244-1210- 2/07/$25.00 C 2007 IEEE.

[8] Mila Kwiatkowska, M. Stella Atkins, Najib T. Ayas, and C. Frank Ryan, “Knowledge- Based Data Analysis: First Step Toward the Creation of Clinical Prediction Rules Using a New Typicality M easure,” IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 11, NO. 6, NOVEMBER 2007.

[9] Sang C. Suh, Sam. Saffer and Naveen Kumar Adla, “Extraction Of Meaningful Rules In A Medical Database,” 2008 Seventh International Conference on Machine Learning and Applications.

[10] Umair Abdullah, Jamil Ahmad and Aftab Ahmed, “Analysis of Effectiveness of Apriori Algorithm inMedical Billing Data Mining,” 2008 International Conference on Emerging Technologies IEEE-ICET 2008 Rawalpindi, Pakistan, 18-19 October, 2008.

[11] Weidong Mao and Jinghe Mao, “The Application of Apriori-Gen Algorithm in the Association Study in Type 2 Diabetes,” 978- 1-4244-2902-8/09/$25.00

[12] PING-HUNG TANG AND MING -HSENG TSENG, “MEDICAL DATA MINING USING BGA AND RGA FOR WEIGHTING OF FEATURES IN FUZZY K-NN CLASSIFICATION,” Proceedings of the Eighth International Conference on Machine Learning and Cybernetics, Baoding, 12-15 July 2009.

[13] ThannobAribarg, SiripornSupratid and ChidchanokLursinsap, “Contemporary Classification on Medical Data based on Non-Linear Feature Extraction,” 2009 International Conference on Computational Science and Its Applications.

[14] AlaQabaja, Mohammed Alshalalfa, RedaAlhajjand Jon okne, “Multiagent Approach for Identifying Cancer Biomarkers,” 2009 IEEE International Conference on Bioinformatics and Biomedicine.

[15] Jan E. Szulejko, Michael McCulloch, Jennifer Jackson, Dwight L. McKee, Jim C. Walker, and TouradjSolouki, “Evidence for Cancer Biomarkers in Exhaled Breath,” IEEE SENSORS JOURNAL, VOL. 10, NO. 1, JANUARY 2010.

How to cite this paper

Pratibha Sao, Bharat Choudhary, Vinay Pandey "The Diagnosis And Analysis On The Skin Cancer Detection Using Pattern Recognition Technology " Iconic Research And Engineering Journals Volume 2 Issue 6 2018 Page 81-86
Pratibha Sao, Bharat Choudhary, Vinay Pandey "The Diagnosis And Analysis On The Skin Cancer Detection Using Pattern Recognition Technology " Iconic Research And Engineering Journals, vol. 2, no. 6, Dec. 2018
Pratibha Sao, Bharat Choudhary, Vinay Pandey (2018). The Diagnosis And Analysis On The Skin Cancer Detection Using Pattern Recognition Technology . Iconic Research And Engineering Journals, 2(6).
Pratibha Sao, Bharat Choudhary, Vinay Pandey "The Diagnosis And Analysis On The Skin Cancer Detection Using Pattern Recognition Technology " Iconic Research And Engineering Journals, vol. 2, no. 6, Dec. 2018.
@article{1700882,
      author = {Pratibha Sao,  Bharat Choudhary,  Vinay Pandey},
      title = {The Diagnosis And Analysis On The Skin Cancer Detection Using Pattern Recognition Technology },
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {2},
      number = {6},
      pages = {81-86},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700882.pdf},
      abstract = {Today biggest problem is faced by person and the main factor are responsible like lack of research, monitoring, health checkup and control system. The growing high compatibility rates for different type cancer and  the surviving of the disease have never been better. The good number recent approximation of the 5 to 10-year family member continued existence rate across all type of cancers and all infection stages is 65%. This figure soar to over 90% for some of the most common cancers if they are detect premature (e.g., prostate, breast, and colon). The high occurrence charge and good continued survival rates encompass resulted in over 9 million cancer survivors at present breathing in the combined state this information has spur a major do research effort into strategy to improve quality of life (QOL), lessen the danger of reappearance and other disease and make bigger continued continuation in this inhabitants. The reason of this document is to give an overview of the possible position of physical work out in this attempt, More specifically, we will make available a concise general idea of premature cancer detection and their personal property on QOL, recapitulate the available research on exercise in cancer survivors,  recently we done with experiment and propose information potential do research on skin cancer incidentally all the way through this paper},
      keywords = {cancer survival, contrast enhancement, Pattern recognition, retinex algorithms.},
      month = {December},
  }