College/University/Organization Name: P. A. College of Engineering and Technology
Organizing
Department: CSE
Event Date: 11/29/2017 -- 11/30/2017
(MM/DD/YYYY)
Last Date: 11/27/2017 (MM/DD/YYYY)
Address: Coimbatore, Tamilnadu, India
Registration
Fee:
UG/PG Students
: Rs. 200
Faculty/ Research scholars: Rs. 300
Faculty/ Research scholars: Rs. 300
College/University/Organization Website: http://www.pacolleges.org
Event Website / Brochure link: http://pacolleges.org/images/demo/cse/Medical.pdf
Email Address: rkavitha.pacet@gmail.com
About Event:
The primary goal of this seminar is to offer an excellent
opportunity and platform for proactive interaction amongst professionals,
academicians, researchers and industrialists together to share their knowledge
and ideas for achieving focused development, advancement in these fields and it
presents work aimed to identify deep learning techniques and their use in
medical imaging. The outcome of the seminar shall address major obstacles and
challenges, field invest resources in the next decade in order to ensure the
most impact in healthcare, medicine and medical imaging.
Who Can
Participate?
Faculty and
Students from AICTE approved Institutions and Industries with relevant
background in ECE/EEE/CSE/IT branches are eligible for the programme.
Accommodation Details:
Yes
Other Details:
The seminar focuses on the development of the Deep Learning in
Medical Imaging and its application in industry and education. This seminar
covers a complete solution for
Introduction to Image Processing
Introduction to spectral approaches
Applications of spectral methods in medical Images
Introduction to Deep Learning
Applications of Deep Learning in medical Images and Videos
Deep Learning Tools, MATLAB Programming
Open Source frameworks for image analysis
Introduction to Image Processing
Introduction to spectral approaches
Applications of spectral methods in medical Images
Introduction to Deep Learning
Applications of Deep Learning in medical Images and Videos
Deep Learning Tools, MATLAB Programming
Open Source frameworks for image analysis
Contact Details:
Mrs. R.
Kavitha, Assistant Professor
Department of CSE
P. A. College Of Engineering and Technology
Pollachi - 642 002
Mobile: 9788114477
Email: rkavitha.pacet@gmail.com
Department of CSE
P. A. College Of Engineering and Technology
Pollachi - 642 002
Mobile: 9788114477
Email: rkavitha.pacet@gmail.com
For any
clarification about this event, please contact the above mentioned address.
ICMR
Sponsored Seminar on MEDICAL IMAGE ANALYSIS WITH DEEP LEARNING
FRAMEWORKS-2017-P. A. College of Engineering and
Technology-Coimbatore-Tamilnadu-India
See Also
DeepLearning17-Coimbatore-2017-P. A. College of Engineering and
Technology-tamilnadu