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Applying AI to 3D Medical Imaging Data
Michael DAndrea,
Ivan Tarapov,
Mazen Zawaideh,
Nikhil Bikhchandani,
and
Emily Lindemer
Michael DAndrea,
Ivan Tarapov,
Mazen Zawaideh,
Nikhil Bikhchandani,
and
Emily Lindemer
Register for this course and see more details by visiting:
OpenCourser.com/course/v8lzhg/applying
What's inside
Syllabus
In this lesson, we will introduce the course and instructors. We will give you an overview of the context for AI in 3D medical imaging space, and cover the objectives of the course.
Read more
Syllabus
In this lesson, we will introduce the course and instructors. We will give you an overview of the context for AI in 3D medical imaging space, and cover the objectives of the course.
Read more
In this lesson, we cover the basic terminology and concepts related to 3D medical imaging. We will look at the problem space from a clinical standpoint and learn how CT and MR scanners produce images.
In this lesson, we will dive deeper into medical imaging formats NIFTI and DICOM, how scanner data is represented, and how to read medical volumes stored in these files and analyze them.
In this lesson, we cover the basics of building deep neural networks for 3D medical imaging (mostly segmentation & classification) and performance evaluation from a software and clinical perspective.
In this lesson, we'll talk about clinical networks, architecture, and AI deployment, tools and their use by data scientists and clinicians, as well as medical device regulation and data privacy.
In this project, you will curate a dataset of brain MRIs, train a segmentation on a CNN, and integrate this into a clinical network to quantify hippocampal volume for Alzheimer's progression.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces core terminology of 3D medical imaging
Builds a solid foundation for beginners in 3D medical imaging
Teaches skills and knowledge that are highly relevant to the healthcare industry
Guided by subject matter experts Michael DAndrea, Ivan Tarapov, Mazen Zawaideh, Nikhil Bikhchandani, and Emily Lindemer
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Activities
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Applying AI to 3D Medical Imaging Data.
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Career center
Learners who complete Applying AI to 3D Medical Imaging Data will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers specializing in medical imaging are responsible for designing, developing, and deploying AI models for healthcare applications. This course provides a solid foundation in the fundamentals of AI for 3D medical imaging data, including deep neural network architectures and performance evaluation, which are essential skills for Machine Learning Engineers in this domain.
AI Software Engineer
AI Software Engineer
AI Software Engineers specializing in healthcare are responsible for designing, developing, and deploying AI solutions for healthcare applications. This course provides a solid foundation in the fundamentals of AI for 3D medical imaging data, including deep neural network architectures and performance evaluation, which are essential skills for AI Software Engineers in this domain.
Data Scientist
Data Scientist
Data Scientists with expertise in medical imaging are in high demand, as they can apply their skills to develop and deploy AI solutions for healthcare. This course provides a comprehensive overview of 3D medical imaging data, deep learning for image analysis, and clinical network integration, which are all valuable skills for Data Scientists in this field.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers specializing in healthcare are responsible for developing algorithms and systems for analyzing and interpreting medical images. This course provides a comprehensive overview of 3D medical imaging data, its formats, and analysis techniques, which are essential skills for Computer Vision Engineers in this domain.
Computational Imaging Scientist
Computational Imaging Scientist
Computational Imaging Scientists develop and apply computational techniques to improve the quality and interpretation of medical images. This course provides a comprehensive overview of 3D medical imaging data, its formats, and analysis techniques, which are essential skills for Computational Imaging Scientists.
Imaging Informatics Specialist
Imaging Informatics Specialist
Imaging Informatics Specialists are responsible for managing and analyzing medical imaging data, often using AI techniques. This course provides a comprehensive overview of 3D medical imaging data, its formats, and analysis techniques, which are essential skills for Imaging Informatics Specialists.
Radiologist
Radiologist
Radiologists specialize in diagnosing and treating diseases using medical imaging techniques. This course may be particularly relevant for Radiologists interested in leveraging AI-powered image analysis tools, as it provides insights into building and evaluating deep neural networks for 3D medical imaging.
Biomedical Engineer
Biomedical Engineer
Biomedical Engineers apply engineering principles to the development of medical technologies, including AI-powered image analysis tools. This course provides insights into the use of AI for 3D medical imaging data, which is an important area of research and development in biomedical engineering.
Clinical Research Scientist
Clinical Research Scientist
Clinical Research Scientists play a crucial role in evaluating the effectiveness and safety of new medical technologies, including AI-powered image analysis tools. This course may be useful in providing a deeper understanding of 3D medical imaging data and its analysis, which are essential for evaluating the performance of AI applications in clinical settings.
Health Informatics Specialist
Health Informatics Specialist
Health Informatics Specialists apply informatics principles to improve the management and use of health information, including medical images. This course may be useful in providing a deeper understanding of medical imaging data and its analysis, which are essential for Health Informatics Specialists in the healthcare industry.
Medical Physicist
Medical Physicist
Medical Physicists apply principles of physics to medicine, including the use of imaging technologies for diagnosis and treatment. This course may be useful in providing a foundational understanding of 3D medical imaging data and its analysis, which are essential aspects of medical physics.
Healthcare Data Analyst
Healthcare Data Analyst
Healthcare Data Analysts specialize in analyzing healthcare data to identify trends, patterns, and insights that can improve patient care. This course may be useful in providing a foundational understanding of 3D medical imaging data and its analysis, which are increasingly used in healthcare data analytics.
Healthcare IT Project Manager
Healthcare IT Project Manager
Healthcare IT Project Managers oversee the implementation and management of healthcare IT systems, including AI-powered image analysis tools. This course may be helpful in providing a foundational understanding of AI for 3D medical imaging data, which is increasingly used in healthcare IT systems.
Medical Imaging Analyst
Medical Imaging Analyst
A Medical Imaging Analyst plays an essential role in analyzing and interpreting medical images to identify and diagnose medical conditions. This course may be helpful in building a foundation for this role by providing an understanding of 3D medical imaging data, its formats, and analysis techniques commonly used in the field.
Medical Device Regulatory Affairs Specialist
Medical Device Regulatory Affairs Specialist
Medical Device Regulatory Affairs Specialists ensure that medical devices, including AI-powered image analysis tools, meet regulatory requirements for safety and effectiveness. This course may be useful in providing a deeper understanding of medical device regulation, which is essential for Medical Device Regulatory Affairs Specialists in the healthcare industry.
For more career information including salaries, visit:
OpenCourser.com/course/v8lzhg/applying
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Applying AI to 3D Medical Imaging Data.
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A comprehensive textbook that provides a deep dive into deep learning, covering fundamental concepts, architectures, and applications.
A widely-used textbook that provides a comprehensive foundation in statistical learning, including machine learning and data mining.
A comprehensive textbook that provides a foundation in pattern recognition and machine learning, covering supervised and unsupervised learning, and statistical models.
A comprehensive textbook that provides a foundation in information theory, inference, and learning algorithms, covering Bayesian networks, decision trees, and support vector machines.
Save
A comprehensive textbook that provides a foundation in computer vision, covering image processing, feature detection, and object recognition.
A comprehensive handbook that provides a comprehensive overview of computer science, including artificial intelligence, machine learning, and computer vision.
A textbook that provides a comprehensive overview of medical image analysis, including techniques for image segmentation, registration, and visualization.
A practical guide to deep learning for computer vision, covering image classification, object detection, and segmentation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/v8lzhg/applying
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Time
30240 hours
Level
Advanced
Via
Udacity
Instructors
Michael DAndrea
Ivan Tarapov
Mazen Zawaideh
Nikhil Bikhchandani
Emily Lindemer
Language
English
Good to know
Introduces core terminology of 3D medical imaging
Builds a solid foundation for beginners in 3D medical imaging
Teaches skills and knowledge that are highly relevant to the healthcare industry
Guided by subject matter experts Michael DAndrea, Ivan Tarapov, Mazen Zawaideh, Nikhil Bikhchandani, and Emily Lindemer
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