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Medical Image Analysis

  • Dr. Muhammad Sajid image

    By - Dr. Muhammad Sajid

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Course Requirements

Students are expected to:

  • Possess basic knowledge of programming, mathematics, and machine learning concepts.
  • Participate actively in lectures, laboratory sessions, and practical workshops.
  • Complete assignments, case studies, and image analysis exercises using real-world medical datasets.
  • Utilize medical imaging, computer vision, and deep learning tools for model development and evaluation.
  • Follow ethical, privacy, and regulatory guidelines related to healthcare data and AI applications.
  • Successfully complete a final project involving the design and implementation of a medical image analysis system for a healthcare problem.

Course Description

This course provides a comprehensive introduction to Medical Image Analysis, focusing on the acquisition, processing, interpretation, and analysis of medical imaging data. Students will explore image processing techniques, computer vision methods, machine learning, and deep learning approaches used in healthcare applications. The course covers various imaging modalities, including X-ray, CT, MRI, Ultrasound, and PET, with emphasis on disease detection, diagnosis, segmentation, classification, and clinical decision support systems.

Course Outcomes

Upon successful completion of this course, students will be able to:

  1. Explain the principles, modalities, and challenges of medical imaging and image analysis in healthcare applications.
  2. Apply image processing, computer vision, and machine learning techniques to analyze and interpret medical images.
  3. Evaluate the performance of medical image analysis systems using appropriate validation metrics and clinical considerations.
  4. Develop intelligent medical image analysis solutions for disease detection, segmentation, classification, and diagnostic support while considering ethical and regulatory requirements. 

Course Curriculum

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Dr. Muhammad Sajid

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  • Language: English

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