2 Week FDP on Deep Learning in Bio-medical Applications for IoT 2019, Hindusthan College of Engineering and Technology, Faculty Development Program, Coimbatore, Tamil Nadu, 4th - 17th November 2019

Registrations Closed
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Event Type:
Venue/Offline Mode
Start Date :
4th November 2019
End Date :
17th November 2019
Location :
Coimbatore, Tamil Nadu
Organizer :
Hindusthan College of Engineering and Technology
Category :
Faculty Development Program
2 Week FDP on Deep Learning in Bio-medical Applications for IoT 2019

About Event

The importance of medical imaging includes early detection, diagnosis, and treatment of diseases. The medical image interpretation has mostly been
performed by human but, due to large variations in pathology and potential fatigue of human experts begun to benefit from computer-assisted
interventions. The advances in computational medical image analysis, is been improved with the help of Deep learning techniques. Internet of
Things (IoT) can connects people, to create new services and medical applications to achieve common objectives of diagnosis. Thus the concept of Deep learning and IOT can create wonders in the medical field. So in order, we have proposed to conduct an Faculty Development Programme on “Deep Learning in Bio-Medical Applications for IOT”.

Events

FDP

Departments:

CSE ECE IT EEE Instrumentation Energy Medical Industrial BioTechnology MCA Telecommunication BioMedical

Accommodation

CONVENER
Mr. B. Veerasamy
Associate Professor/Department of ECE
Ph: 9751702400

Mr. P. Suresh Kumar
Assistant Professor/Department of ECE
Ph: 9944382829
E-Mail ID: fdpecehicet@gmail.com

How to reach Hindusthan College of Engineering and Technology, Coimbatore

https://goo.gl/maps/MJLkms8hoGR1Rg8J6

Related Links:

2 Week FDP on Deep Learning in Bio-medical Applications for IoT 2019 Hindusthan College of Engineering and Technology Coimbatore Tamil Nadu November 2019 Bio Medical Fests Bio Medical Fests in Coimbatore Bio Medical Fests in Tamil Nadu Faculty Development Programme Faculty Development Progr