Bio medical Image processing Science and Technology

Start Date
01/11/2018

End Date
28/02/2019

Enrollment End Date
01/11/2018

No. of
Enrollments
599 students

No course
syllabus uploaded

Created by

Dr. Ramesh Manza
Dr. Babasaheb Ambedkar Marathwada University
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Course Language
English
Course Type
Scheduled
Video transcripts
English
Course Category
Annual Refresher Programme in Teaching (ARPIT)
Learning Path
Post graduate
Course Length
40 Hours
Weekly time commitments
4 Hours
Course Completion
Yes, after accessing documents, videos, passing all graded assignments, passing all tests.
Exam Date
To be announced
Credits
0

98

Tutorials

7

Tests

0

Assignment

0

Article

0

Weekly Reading list

Overview

This course will provide you detailed insights of Biomedical image processing and you will be faciliated with know-how of basic biomedical image processing with special reference to diabetic retinopathy. Biomedical image processing has attained great heights now a days and contributed significantly in towards prognosis and diagnosis of issues similarly doctors are able to decide line of action for treatments.
 
As per surveys, the technology inceptions of medical image analysis software markets with special reference to biomedical image processing has turned in making this industry 3.88 billion by 2022 and expected to grow by 8.2% annually, so there is huge potential in biomedical instrumentation as well as image processing.
 
This course is useful for academician, researchers and industry professionals working in the area of image processing, pattern recogntion and biomedical image processing. 
 
In this course you will be able to learn 
  • Foundations of Diabetes, Basics of Diabetic Retinopathy, Glucoma
  • Foundations of Digital Image Processing Methods with special interest to Diabetic Retinopathy
    • Image Acquition methods, Acqusition devices, Image formation and its Representations
    • Image Enhacements
    • Image Segmentations and Morphology
  • Lesion Detection from Diabetic Retinopathy images
  • Classification Menthods
  • Use of Open Source systems for image processing applications

To access the content, please enroll in the course.

Faculty

Dr. Ramesh Manza


Ramesh R. Manza is presently working as Associate Professor in Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. He has completed M. Sc. Computer Science in 1996, NET and SET in 2002, Ph. D. in Computer Science in 2006. Areas of specialisation includes Bio-Medical Image Processing, Diabetic Retinopathy, Glaucoma, Pattern Recognition and Computer Vision. Research publication is around 134 papers at national and international conferences and around115 papers in reputed peer reviewed journals. Completed One UGC Major Research Project on Diabetic Retinopathy of Rs. 12 Lakhs (2012-14) and projects sanctioned by DST on Diabetic Retinopathy of Rs. 24 Lakhs (2013-17). In research supervision, total 11 have been awarded with Ph. D. Degree and 32 students have been awarded M. Phil in Computer Science. Authored 11 Books primarily focusing on the research contribution in the area of Digital Image Processing, Biomedical Image Processing and Diabetic Retinopathy. Fellow of IETE, member of Cloud Computing Community IEEE, IEEE Engineering in Medicine and Biology Society Membership, IEEE Transactions on Medical Imaging, IEEE Biometrics Council, IEEE Nanotechnology Council, IEEE Sensors Council and life members of IAEng, CSTA, IACSIT, ISCA, ISSS organizations.

FAQs

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