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دوراتنا
Anatomy of the Chest, Neck, Abdomen, and Pelvis
WARNING: THESE VIDEOS CONTAIN IMAGES OF HUMAN DISSECTION. MAY BE DISTURBING TO SOME. Human structure is important to all of us as it has been for millennia. Artists, teachers, health care providers, scientists and most children try to understand the human form from stick figure drawings to electron microscopy.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Visualizing the Living Body: Diagnostic Imaging
This course teaches learners the underlying principles behind conventional radiography, computerized axial tomography (CT), magnetic resonance imaging (MRI), and ultrasound. The radiology of chest, abdomen, pelvis, extremities, spine and brain are taught in this course using a combination of lectures and extensive practical activities and assessments.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Information Extraction from Free Text Data in Health
In this MOOC, you will be introduced to advanced machine learning and natural language processing techniques to parse and extract information from unstructured text documents in healthcare, such as clinical notes, radiology reports, and discharge summaries. Whether you are an aspiring data scientist or an early or mid-career professional in data science or information technology in healthcare, it is critical that you keep up-to-date your skills in information extraction and analysis.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
AI for Medical Diagnosis
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math and coding behind AI algorithms, and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you. No prior medical expertise is required!
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Course by
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Self Paced
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20 ساعات
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الإنجليزية
Convolutional Neural Networks
In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data.
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Course by
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Self Paced
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36 ساعات
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الإنجليزية