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# at The End Ofthe Course The Students Will Know To# 1. Implement Medical Image Processing Algorithms in Python Programming Language._ 2. Determine Which Algorithm Is Suitable to Solve a Specific Challenge In Medical Image Processing.__ 3. 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 234128 - Introduction to Computing With Python and 334023 - Int. to Statistics For Biomedical Eng.) or (44131 - Signals and Systems and 94423 - Introduction to Statistics and 234128 - Introduction to Computing With Python)

Course with no extra credit

46200 - Image Processing and Analysis 336027 - Medical Image Processing