What topics/techniques are covered in Digital Image Processing subject of Biomedical Engineering?

<p>In Biomedical Engineering, the Digital Image Processing syllabus typically covers various techniques used to process medical images. Key topics include:</p><ol><li>Introduction to digital image processing and its importance in medical applications.</li><li>Image enhancement techniques like contrast adjustment and noise reduction.</li><li>Filtering methods for enhancing images, such as edge detection and spatial filtering.</li><li>Image segmentation methods, including thresholding and region growing, to identify important structures like tumors.</li><li>Morphological processing techniques like dilation and erosion to process binary images.</li><li>Feature extraction and pattern recognition for detecting patterns in images, aiding in diagnosis.</li><li>Medical imaging modalities such as MRI, CT scans, and ultrasound, and their image processing techniques.</li><li>3D imaging and visualization for detailed views of anatomical structures.</li></ol><p>These topics aim to equip students with the skills to process medical images for better diagnosis and treatment planning.</p>

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<p>Dear candidate, the subject of Digital Image Processing basically teaches you about the working fundamentals of various types of digital machinery across medical and healthcare industry. You get to learn about the different ways in which digital images can be processed by using advanced computer applications along with other hardware and get the work done in an effective manner.</p><p>The knowledge of this subject is very important for a biomedical engineer as he/she will have to put this to use in the future whenever they enter the workforce as a biomedical engineering professional, for instance, in getting MRI scans and X-ray results.</p><p>Hope this cleared your doubt. Have a good day.</p>

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