Fellowship in AI in Pathology & Digital Pathology
A digital-pathology programme introducing histopathology, microscopy, digital image processing, computer vision and AI-assisted pathology workflows. The focus is on technology, data, research and laboratory workflow support.
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Start your fellowship application securely through the MRFO Student Portal.
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
Pathology Foundations
Histopathology
Cytology
Digital Pathology
Microscopy & Digital Images
Image Processing
Computer Vision
Deep Learning
AI Image Classification
Digital Pathology Workflow
Pathology AI Project
Capstone & Assessment
Internship
Practical exposure and hands-on experience
Placement Support
Career guidance and placement assistance
Prospectus & Documents
View official fellowship documents