IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Image Processing Including Medical Liver Imaging: Medical Image Processing from Big Data Perspective, Ultrasound Liver Images, Challenges

Image Processing Including Medical Liver Imaging: Medical Image Processing from Big Data Perspective, Ultrasound Liver Images, Challenges
View Sample PDF
Author(s): Suganya Ramamoorthy (Thiagarajar College of Engineering, India)and Rajaram Sivasubramaniam (Thiagarajar College of Engineering, India)
Copyright: 2018
Pages: 13
Source title: Applying Big Data Analytics in Bioinformatics and Medicine
Source Author(s)/Editor(s): Miltiadis D. Lytras (Deree - The American College of Greece, Greece)and Paraskevi Papadopoulou (Deree - The American College of Greece, Greece)
DOI: 10.4018/978-1-5225-2607-0.ch016

Purchase


Abstract

Medical diagnosis has been gaining importance in everyday life. The diseases and their symptoms are highly varying and there is always a need for a continuous update of knowledge needed for the doctors. The diseases fall into different categories and a small variation of symptoms may leave to different categories of diseases. This is further supplemented by the medical analysts for a continuous treatment process. The treatment generally starts with a diagnosis and further goes through a set of procedures including X-ray, CT-scans, ultrasound imaging for qualitative analysis and diagnosis by doctors. A small level of error in disease identification introduces overhead in diagnosis and difficult in treatment. In such cases, an automated system that could retrieve medical images based on user's interest. This chapter deals with various techniques, methodologies that correspond to the classification problem in data analysis process and its methodological impacts to big data.

Related Content

Paraskevi Papadopoulou, Miltiadis Lytras, Christina Marouli. © 2018. 25 pages.
Kijpokin Kasemsap. © 2018. 22 pages.
Hirak Jyoti Chakraborty, Aditi Gangopadhyay, Sayak Ganguli, Abhijit Datta. © 2018. 32 pages.
Srijan Goswami. © 2018. 19 pages.
Sushma Munugala, Gagandeep K. Brar, Ali Syed, Azeem Mohammad, Malka N. Halgamuge. © 2018. 15 pages.
Dimosthenis A. Sarigiannis, Spyros P. Karakitsios, Evangelos Handakas, Krystalia Papadaki, Dimitris Chapizanis, Alberto Gotti. © 2018. 30 pages.
Dimosthenis A. Sarigiannis, Alberto Gotti, Evangelos Handakas, Spyros P. Karakitsios. © 2018. 43 pages.
Body Bottom