EICTA, IIT Kanpur

AI in Medical Imaging and Diagnostics: Current Trends and Challenges

Master Computer Vision, Image Segmentation, and Deep Learning for Disease Detection and Medical Diagnostics

  • Certificate from E&ICT Academy, IIT Kanpur upon course completion
  • 40 hours of expert-led live sessions and hands-on training with real-world medical data
  • Learn AI techniques applied to healthcare, imaging, and diagnostic systems
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Faculty Development Program

Certification

Online Live

Interactive Instructor-Led Sessions

40 Hours

Course Duration

What you'll learn

  • Understand the fundamentals of AI, image processing, and their applications in healthcare
  • Build, train, and evaluate deep learning models for disease detection using medical images
  • Learn medical image segmentation and enhancement techniques to improve diagnostic outcomes
  • Use tools like ChatGPT, Gemini, and other healthcare-focused AI platforms for research and virtual assistant applications
  • Explore AI in early disease prediction, virtual health assistants, and personalized diagnostics
  • Apply ethical principles and analyze challenges in AI-driven healthcare systems

Skills you'll gain

Image Segmentation & EnhancementDeep Learning for HealthcareMedical Image ClassificationComputer Vision in DiagnosticsDisease Prediction ModelingAI Tools for Research & AnalysisEthical AI in HealthcareVirtual Health Assistant DevelopmentFoundation Models in Medical AIDiagnostic Workflow Automation

Tools

TensorFlow
ChatGPT
gemini
opencv
keras

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Certificate

Learn from Top Healthcare AI Experts

Led by experienced faculty from IITs and healthcare AI specialists, this course offers insights into real-world diagnostic innovations and imaging analysis.

Hands-On, Case-Based Projects

Work directly with medical images (X-rays, MRIs, CT scans) to build classification and detection models using segmentation and vision techniques.

Practical AI for Healthcare Readiness

Gain technical and ethical knowledge to apply AI in diagnostics, patient care, and health-tech research with industry relevance.

Live + Recorded Learning Format

Live instructor-led sessions supplemented by recordings, resources, and toolkits to enable flexible self-paced review.

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