Noelperez
Research Methodology: An example in a Real Project
Noel Pérez
Laboratory of Optics and Experimental Mechanics, Instituto de Engenharia Mecânica e Gestão Industrial. nperez@inegi.up.pt Abstract. The research methodology defines what the activity of research is, how to proceed, how to measure progress, and what constitutes success. It provides us an advancement of wealth of human knowledge, tools of the trade to carry out research, tools to look at things in life objectively; develops a critical and scientific attitude, disciplined thinking to observe objectively (scientific deduction and inductive thinking); skills of research particularly in the ‘age of information’. Also it defines the way in which the data are collected in a research project. In this paper it presents two components of the research methodology from a real project; the theorical design and framework respectively. Keywords: Research methodology, example of research methodology, theorical framework, theorical design.
1 Introduction
The research methodology defines what the activity of research is, how to proceed, how to measure progress, and what constitutes success. It provides us an advancement of wealth of human knowledge, tools of the trade to carry out research, tools to look at things in life objectively; develops a critical and scientific attitude, disciplined thinking to observe objectively (scientific deduction and inductive thinking); skills of research particularly in the ‘age of information’. The research methodology is a science that studying how research is done scientifically. It is the way to systematically solve the research problem by logically adopting various steps. Also it defines the way in which the data are collected in a research project. 1.1 Study case According to the World Health Organization (WHO) breast cancer is the most common cancer suffered by women in the world, which during the last two decades has increased the women mortality in developing countries.
Noel Pérez
Laboratory of Optics and Experimental Mechanics, Instituto de Engenharia Mecânica e Gestão Industrial. nperez@inegi.up.pt Abstract. The research methodology defines what the activity of research is, how to proceed, how to measure progress, and what constitutes success. It provides us an advancement of wealth of human knowledge, tools of the trade to carry out research, tools to look at things in life objectively; develops a critical and scientific attitude, disciplined thinking to observe objectively (scientific deduction and inductive thinking); skills of research particularly in the ‘age of information’. Also it defines the way in which the data are collected in a research project. In this paper it presents two components of the research methodology from a real project; the theorical design and framework respectively. Keywords: Research methodology, example of research methodology, theorical framework, theorical design.
1 Introduction
The research methodology defines what the activity of research is, how to proceed, how to measure progress, and what constitutes success. It provides us an advancement of wealth of human knowledge, tools of the trade to carry out research, tools to look at things in life objectively; develops a critical and scientific attitude, disciplined thinking to observe objectively (scientific deduction and inductive thinking); skills of research particularly in the ‘age of information’. The research methodology is a science that studying how research is done scientifically. It is the way to systematically solve the research problem by logically adopting various steps. Also it defines the way in which the data are collected in a research project. 1.1 Study case According to the World Health Organization (WHO) breast cancer is the most common cancer suffered by women in the world, which during the last two decades has increased the women mortality in developing countries.
References: 1 Y. López, A. Novoa, M. Guevara, and A. Silva, “Breast Cancer Diagnosis Based on a Suitable Combination of Deformable Models and Artificial Neural Networks Techniques,” in Progress in Pattern Recognition, Image Analysis and Applications, 2008, pp. 803-811. 2 G.D. Tourassi, R. Ike Iii, S. Singh, and B. Harrawood, “Evaluating the Effect of Image Preprocessing on an Information-Theoretic CAD System in Mammography,” Academic Radiology, vol. 15, (no. 5), pp. 626-634, 2008. 3 Y. López, A. Novoa, M. Guevara, N. Quintana, and A. Silva, “Computer Aided Diagnosis System to Detect Breast Cancer Pathological Lesions,” in Progress in Pattern Recognition, Image Analysis and Applications, 2008, pp. 453-460. 4 R.F. Wagner, C.E. Metz, and G. Campbell, “Assessment of Medical Imaging Systems and Computer Aids: A Tutorial Review,” Academic Radiology, vol. 14, (no. 6), pp. 723-748, 2007. 5 W. Qian, D. Song, M. Lei, R. Sankar, and E. Eikman, “Computer-Aided Mass Detection Based on Ipsilateral Multiview Mammograms,” Academic Radiology, vol. 14, (no. 5), pp. 530-538, 2007. 6 Z. Jeffrey Zhi-jie, L. Liang, and X. Yinfu, “Towards automated mammograph image analysis,” in Book Towards automated mammograph image analysis, Series Towards automated mammograph image analysis, Editor ed.^eds., City, 2005, pp. 6 pp. 7 K. Byrd, Z. Jianchao, and M. Chouikha, “Performance assessment of mammography image segmentation algorithms,” in Book Performance assessment of mammography image segmentation algorithms, Series Performance assessment of mammography image segmentation algorithms, Editor ed.^eds., City, 2005, pp. 6 pp.-157. 8 H. Li, M.L. Giger, Y. Yuan, W. Chen, K. Horsch, L. Lan, A.R. Jamieson, C.A. Sennett, and S.A. Jansen, “Evaluation of Computer-aided Diagnosis on a Large Clinical Full-field Digital Mammographic Dataset,” Academic Radiology, vol. 15, (no. 11), pp. 1437-1445, 2008. 9 L. Jiang, E. Song, X. Xu, G. Ma, and B. Zheng, “Automated Detection of Breast Mass Spiculation Levels and Evaluation of Scheme Performance,” Academic Radiology, vol. 15, (no. 12), pp. 1534-1544, 2008. 10 W.-J. Wu and W.K. Moon, “Ultrasound Breast Tumor Image Computer-Aided Diagnosis With Texture and Morphological Features,” Academic Radiology, vol. 15, (no. 7), pp. 873880, 2008. 11 W. DeMartini, C. Lehman, and S. Partridge, “Breast MRI for Cancer Detection and Characterization: A Review of Evidence-Based Clinical Applications,” Academic Radiology, vol. 15, (no. 4), pp. 408-416, 2008. 12 X. Liang, Q. Zhang, C. Li, S.R. Grobmyer, L.L. Fajardo, and H. Jiang, “Phase-Contrast Diffuse Optical Tomography: Pilot Results in the Breast,” Academic Radiology, vol. 15, (no. 7), pp. 859-866, 2008. 13 K. Nie, J.-H. Chen, H.J. Yu, Y. Chu, O. Nalcioglu, and M.-Y. Su, “Quantitative Analysis of Lesion Morphology and Texture Features for Diagnostic Prediction in Breast MRI,” Academic Radiology, vol. 15, (no. 12), pp. 1513-1525, 2008. 14 William C. Black , Robert F. Nease, Jr , and Anna N. A. Tosteson, “Perceptions of Breast Cancer Risk and Screening Effectiveness in Women Younger Than 50 Years of Age”. J. Natl. Cancer Inst. 87: 720-731.