Basic Information
Introduction to The Field of Medical Image Processing and Its Applications, 2d Signal Processing, 2d Discrete Fourier Transform And Its Application in Medical Imaging, Image Enhancement (histograms, Denoising, Sharpening), Image Quantization, Image Restoration, Compression, Dicom Format,deep-learning Methods For Medical Images, Python Programming Language For Medical Image Processing. Learning Outcomes# 1. to Implement Medical Image Processing Algorithms in Python Programming Language. 2. to Determine Which Algorithm Is Suitable to Solve a Specific Challenge in Medical Image Processing. 3. to Develop Algorithms to Solve Specific Challenges in Medical Image Processing.
Faculty: Biomedical Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
(44131 - Signals and Systems and 94423 - Introduction to Statistics) or (44131 - Signals and Systems and 334023 - Int. to Statistics For Biomedical Eng.)
Course with no extra credit
46200 - Image Processing and Analysis
Semestrial Information
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Moti Freiman
Exams
Session A: 01-05-2024- אולמן 600. 601. 602. 705.
Registration Groups
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Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Moti Freiman
Exams
Session A: 14-02-2023 Session B: 08-03-2023Registration Groups
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Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Moti Freiman
Exams
Session A: 20-07-2022 09:00 - 12:00- ביורפואי 202. 301.
- ביורפואי 301.
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