Fellowship in AI-Based Medical Imaging & Diagnostics
A specialised programme covering medical imaging fundamentals and the use of computer vision and deep learning for analysis of X-ray, CT, MRI and other digital medical images. Emphasis is placed on technology, research and workflow support rather than independent diagnosis.
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Fellowship Overview
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Programme Details
Key academic and delivery details of this fellowship
Entrance Assessment
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CBT – Class XII NCERT based
CBT – Class XII NCERT based
Scholarship After Entrance Exam
Scholarship eligibility linked to successful completion of the CBT entrance examination
Entrance Exam Based Scholarship
Students who successfully pass the fellowship CBT entrance examination may become eligible for the scholarship amount configured for this programme.
Complete the fellowship entrance assessment based on the Class XII NCERT syllabus.
Students who meet the qualifying requirement of the CBT can proceed for scholarship consideration.
After the result is verified, the eligible student can receive the scholarship benefit for the fellowship.
Eligibility
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Duration
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Current Intake
Details of the current intake for this fellowship programme
Curriculum Highlights
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Programme Curriculum
Structured learning modules and topics
Medical Imaging Foundations
X-Ray & Digital Radiography
CT Imaging Fundamentals
MRI Fundamentals
Digital Image Processing
Python for Medical Imaging
Computer Vision
CNN & Deep Learning
Image Classification
Segmentation & Detection
Medical Imaging AI Project
Capstone, Viva & Assessment
Internship
Practical exposure and hands-on experience
Placement Support
Career guidance and placement assistance
Prospectus & Documents
View official fellowship documents