Artificial Intelligence Enabled Detection in Bio Medics

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-35 Number-2
Year of Publication : 2016
Authors : Dr. S.Masood Ahamed
  10.14445/22312803/IJCTT-V35P114

MLA

Dr. S.Masood Ahamed "Artificial Intelligence Enabled Detection in Bio Medics". International Journal of Computer Trends and Technology (IJCTT) V35(2):79-83, May 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The early detection & diagnosing of deceases increases the survival rate in women. Today, mammography is the most common and effective technique for the detection of breast cancer. Digital Telemammography is to help find smaller breast tumors; it must be simulated as radiologist presently works. may be the next tool in the fight against breast cancer. In this paper we demonstrate the different studies related to Digital Telemammography Services (DTS) with the methodology of implementation protocol.

References
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[2] E. Sheybani and R. Sankar, "Survey of telemedicine teleradiology/telemammography network architectures," SPIE Journal of Electronic Imaging, Submitted February 2001.
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[4] Website www.breastcancer.org the cancer oriented, NGO and Volunteers’ association.
[5] Y attikiouzel and r Chandrasekhar, “DSP in mammography” Australian research centre for medical engineering The university of western Australia.
[6] HagniiUer and F. Aghdasi “Object Oriented Telemmography” Department of Electrical Engineering, Upiversity of the Witwatersrand Johannesburg 2050, South Africa.
[7] Ehsan Sheybani “ATMTN: A Test-Bed for a National Telemammography Network” Iranian Journal Of Electrical And Computer Engineering, Vol. 1, No. 1, Winter-Spring 2002.
[8] Dr. Kiran Kumari Patel and Syed Thouheed Ahmed,REVA Institute of Technology and Management,Bangalore.

Keywords
Mammography, Telemammography service, Digital,Radiography.