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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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INFORMATION SYSTEM FOR ANALYSING IMAGES USED IN THE DIAGNOSIS OF GASTRIC ADENOCARCINOMA

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.5 Issue 6, pp 79-86,Year 2016

INFORMATION SYSTEM FOR ANALYSING IMAGES USED IN THE DIAGNOSIS OF GASTRIC ADENOCARCINOMA

Juan Luis Alcaide Juárez, Miguel Patiño Ortiz, Tonáhtiu Arturo Ramírez Romero

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Received : 25 December 2016; Accepted : 30 December 2016 ; Published : 31 December 2016

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Abstract

The primary goal of this works is develop a system, to identify lesions of Gastric adenocarcinoma, by using a technique proposed here, which distinguishes injuries by color filtering and subsequent calculation of the dimensions and color saturation of the lesion, to identify whether it is an injury: Severe, medium or mild. To issue a pre-diagnosis.

Key Words   
Image processing ,Gastric adenocarcinoma , clinical diagnosi

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References
  1. Barboza Eduardo 1996. Cáncer de estómago. Revista médica herediana. Vol. 7 No. 2
  2. ParryK. Parry a,e, L. Haverkamp a, R.C.G. Bruijnen b, P.D. Siersema c,G.J.A. Offerhaus d, J.P. Ruurda a, R. van Hillegersberg a. Staging of adenocarcinoma of the gastroesophageal junction. European Journal of Surgical Oncology (EJSO), Volume 42, Issue 3, March 2016, Pages 400-406
  3. Olympus, 2016. Narrow Band Imaging. https://www.olympus-europa.com/medical/en/medical_systems/applications/urology/bladder/narrow_band_imaging__nbi_/narrow_band_imaging__nbi_.html . Retrieved: Dec-2016
  4. Filter System and throughputs, http://www.pausurvey.org/paucam/filters/ , Retrieved: Dec-2016.
  5. Macarulla et al, 2009. Comprender el cáncer. Amat editorial. Barcelona. 42p
  6. Instituto Nacional de Cancerología 2004. El cáncer. Aspectos básicos sobre su biología, clínica, prevención, diagnóstico y tratamiento. Ministerio de la protección social. Instituto Nacional de Cancerología E.S.E.
  7. Moreira y López, 2008. Endoscopia digestiva alta. Revista Española de Enfermedades Digestivas. Madrid. Vol. 100. No. 7.
  8. American CancerSociety 2014. Cáncer de estómago. Guía detallada. American CancerSociety.
  9. JPEG, 2016. https://jpeg.org/jpeg/index.html . Retrieved: December 2016.
  10. 2016. https://www.nlm.nih.gov/medlineplus/spanish/ency/article/003338.htm . Retrieved: December, 2016
  11. A. Sethian, Noise Removal from images, department of mathematics, university of California Berkeley. https://math.berkeley.edu/~sethian/2006/Applications/ImageProcessing/noiseremoval.html , Retrieved: December 2016.
  12. Bernsen, J (1986), "Dynamic Thresholding of Grey-Level Images", Proc. of the 8th Int. Conf. on Pattern Recognition
  13. Adpthrsh(2016)http://homepages.inf.ed.ac.uk/rbf/HIPR2/adpthrsh.htm
  14. Niblack, W (1986), An introduction to Digital Image Processing, Prentice-Hall
  15. Otsu, N (1979), "A threshold selection method from gray-level histograms", IEEE Trans. Sys., Man., Cyber. 9: 62-66, doi:10.1109/TSMC.1979.4310076
  16. Quilmes, 2004. Segmentacion por umbralización – Método de Otsu, (2016) Universidad Nacional de Quiles, http://iaci.unq.edu.ar/materias/vision/archivos/apuntes/Segmentaci%C3%B3n%20por%20umbralizaci%C3%B3n%20-%20M%C3%A9todo%20de%20Otsu.pdf  Consultado: 20 de junio del 2016.
  17. Phansalskar, N; More, S &Sabale, A et al. (2011), "Adaptive local thresholding for detection of nuclei in diversity stained cytology images.", International Conference on Communications and Signal Processing (ICCSP): 218-220
  18. Luciano Cássio Lulio, MárioLuiz Tronco and Arthur José Vieira Porto. Advances in image segmentation - JSEG Algorithm and Statistical ANN Image Segmentation Techniques for Natural Scenes. Image segmentation. Pp 343- 364.Chapter 18. DOI: 10.5772/14622
  19. Robert M. Haralick, K. Shanmugam, itshakdinstein , Textural Features for Image Classification , IEEE Transactions on systems, man and cybernectics, Vol. SMC-3, No.6, 1973. pp. 610-621.
  20. Mari Partio, Bogdan Cramariuc, MoncefGabbouj, and Ari Visa. (2016).Rock texture retrieval using gray level co-ocurrence matrix. TampereUniversity of Technology. Finland.
  21. GLMC, (2016). http://www.mathworks.com/help/images/gray-level-co-occurrence-matrix-glcm.html?searchHighlight=glcm Retrieved: June -17of 2016.
  22. http://libgd.github.io/Retrieved: December 2016
  23. Ramirez, T. et al. Recognition model for heart disease using image analysis of electrocardiograms by processing rules. 8vo Congreso internacional de ingeniería electromecánica y de sistemas (CIIES 2016).México.
  24. Juan Luis Alcaide Juárez, Miguel Patiño Ortiz, Julián Patiño Ortiz. Diseño de un sistema inteligente para la detección de adenocarcinoma gástrico, 15vo congreso nacional de ingeniería electromecánica y de sistemas (CNIES 2015). México.
To cite this article

Juan Luis Alcaide Juárez, Miguel Patiño Ortiz, Tonáhtiu Arturo Ramírez Romero , " Information System For Analysing Images Used In The Diagnosis Of Gastric Adenocarcinoma ", International Journal of Latest Research in Science and Technology . Vol. 5, Issue 6, pp 79-86 , 2016

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