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Ryan Ahmed
Hello everyone and welcome to this hands-on guided project on Artificial intelligence (AI)-powered chest disease detection and classification. AI has been revolutionizing healthcare and medicine in many areas such as: (1) Medical imagery, (2) Drug research, and (3) Genome development. Deep learning has been proven to be superior in detecting and classifying disease using imagery data.
Read more
Hello everyone and welcome to this hands-on guided project on Artificial intelligence (AI)-powered chest disease detection and classification. AI has been revolutionizing healthcare and medicine in many areas such as: (1) Medical imagery, (2) Drug research, and (3) Genome development. Deep learning has been proven to be superior in detecting and classifying disease using imagery data.
Read more
Hello everyone and welcome to this hands-on guided project on Artificial intelligence (AI)-powered chest disease detection and classification. AI has been revolutionizing healthcare and medicine in many areas such as: (1) Medical imagery, (2) Drug research, and (3) Genome development. Deep learning has been proven to be superior in detecting and classifying disease using imagery data.
In this case study, we will automate the process of detecting and classifying chest disease from X-Ray images to reduce the cost and time of detection. This guided project is practical and directly applicable to the healthcare industry. You can add this project to your portfolio of projects which is essential for your next job interview.
Register for this course and see more details by visiting:
OpenCourser.com/course/0kzoyp/ai
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What's inside
Syllabus
Project Overview
Hello everyone and welcome to this hands-on guided project on Artificial intelligence (AI)-powered chest disease detection and classification. In this guided project, we will automate the process of detecting and classifying chest disease from X-Ray images to reduce the cost and time of detection. This guided project is practical and directly applicable to healthcare industry. You can add this project to your portfolio of projects which is essential for your next job interview.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Automates the process of detecting and classifying chest disease from X-ray images, reducing the cost and time of detection
Suitable for students seeking a practical and directly applicable project to enhance their healthcare industry knowledge
Provides essential material for building a portfolio of projects for job interviews
Applicable for beginners and intermediate learners seeking to enhance their skills in artificial intelligence and medical imagery
Uses deep learning techniques, which are proven superior in detecting and classifying diseases using imagery data
Save this course
Save AI-Powered Chest Disease Detection and Classification to your list so you can find it easily later:
Save
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in AI-Powered Chest Disease Detection and Classification with these
activities:
Review computer vision concepts
Show steps
Review essential computer vision concepts like image segmentation, feature extraction, and object recognition to strengthen foundational knowledge.
Browse courses on
Computer Vision
Show steps
-
Read through lecture notes and textbooks on computer vision.
-
Review online tutorials and videos on fundamental concepts.
-
Practice solving problems related to image processing and computer vision.
Complete coding exercises on image classification
Show steps
Engage in coding exercises to improve proficiency in image classification techniques, specifically using Python.
Show steps
-
Set up a Python environment for image processing.
-
Utilize libraries like TensorFlow or PyTorch for image classification.
-
Practice implementing algorithms for feature extraction and model training.
Follow tutorials on deep learning for medical image analysis
Show steps
Explore tutorials and courses on deep learning techniques specifically applied to medical image analysis, focusing on chest disease detection.
Browse courses on
Deep Learning
Show steps
-
Identify reputable platforms or instructors offering tutorials on deep learning for medical image analysis.
-
Select tutorials that align with your skill level and interests.
-
Follow the tutorials, completing exercises and projects to reinforce learning.
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in a study group focused on AI in healthcare
Show steps
Join a study group with peers to discuss concepts, share knowledge, and engage in collaborative learning on AI applications in healthcare.
Browse courses on
AI in Healthcare
Show steps
-
Identify or form a study group with individuals interested in AI in healthcare.
-
Set regular meeting times and establish a study schedule.
-
Take turns presenting on different topics related to AI in healthcare, facilitating discussions.
Develop a presentation on the applications of AI in healthcare
Show steps
Create a comprehensive presentation showcasing the diverse applications of AI in healthcare, emphasizing its impact on chest disease detection.
Browse courses on
AI in Healthcare
Show steps
-
Research various applications of AI in the healthcare industry.
-
Focus specifically on chest disease detection and its significance.
-
Design visually appealing slides and incorporate relevant data and examples.
Build a simple AI model for chest X-ray classification
Show steps
Undertake a project to build a basic AI model using Python that can classify chest X-rays, enhancing comprehension of model design and implementation.
Show steps
-
Gather a dataset of chest X-rays with labeled disease categories.
-
Choose an appropriate machine learning algorithm for classification.
-
Develop the model using a Python library like TensorFlow or Keras.
Review computer vision concepts
Show steps
Review essential computer vision concepts like image segmentation, feature extraction, and object recognition to strengthen foundational knowledge.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Read through lecture notes and textbooks on computer vision.
- Review online tutorials and videos on fundamental concepts.
- Practice solving problems related to image processing and computer vision.
Complete coding exercises on image classification
Show steps
Engage in coding exercises to improve proficiency in image classification techniques, specifically using Python.
Show steps
Show steps
Show steps
- Set up a Python environment for image processing.
- Utilize libraries like TensorFlow or PyTorch for image classification.
- Practice implementing algorithms for feature extraction and model training.
Follow tutorials on deep learning for medical image analysis
Show steps
Explore tutorials and courses on deep learning techniques specifically applied to medical image analysis, focusing on chest disease detection.
Browse courses on
Deep Learning
Show steps
Show steps
Show steps
- Identify reputable platforms or instructors offering tutorials on deep learning for medical image analysis.
- Select tutorials that align with your skill level and interests.
- Follow the tutorials, completing exercises and projects to reinforce learning.
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in a study group focused on AI in healthcare
Show steps
Join a study group with peers to discuss concepts, share knowledge, and engage in collaborative learning on AI applications in healthcare.
Browse courses on
AI in Healthcare
Show steps
Show steps
Show steps
- Identify or form a study group with individuals interested in AI in healthcare.
- Set regular meeting times and establish a study schedule.
- Take turns presenting on different topics related to AI in healthcare, facilitating discussions.
Develop a presentation on the applications of AI in healthcare
Show steps
Create a comprehensive presentation showcasing the diverse applications of AI in healthcare, emphasizing its impact on chest disease detection.
Browse courses on
AI in Healthcare
Show steps
Show steps
Show steps
- Research various applications of AI in the healthcare industry.
- Focus specifically on chest disease detection and its significance.
- Design visually appealing slides and incorporate relevant data and examples.
Build a simple AI model for chest X-ray classification
Show steps
Undertake a project to build a basic AI model using Python that can classify chest X-rays, enhancing comprehension of model design and implementation.
Show steps
Show steps
Show steps
- Gather a dataset of chest X-rays with labeled disease categories.
- Choose an appropriate machine learning algorithm for classification.
- Develop the model using a Python library like TensorFlow or Keras.
Career center
Learners who complete AI-Powered Chest Disease Detection and Classification will develop knowledge and skills
that may be useful to these careers:
Medical Imaging Analyst
Medical Imaging Analyst
Medical Imaging Analysts analyze medical images to identify and diagnose diseases. This course can help you gain the skills needed to interpret medical images, as well as to use machine learning to improve the accuracy of your diagnoses. This course can help Medical Imaging Analysts develop the skills needed to use AI to detect and classify chest disease from X-Ray images.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and implement machine learning models. This course can help you gain the skills needed to build and deploy machine learning models, as well as to evaluate their performance. This course can help Machine Learning Engineers develop the skills needed to build models that can detect and classify chest disease from X-Ray images.
Data Scientist
Data Scientist
Data Scientists analyze data to extract insights and trends that can be used to improve decision-making. This course can help you gain the skills needed to prepare, clean, and analyze data, as well as to visualize and present your findings. This course can help Data Scientists develop the skills needed to analyze medical imagery data, which is a growing field in healthcare.
Healthcare Data Analyst
Healthcare Data Analyst
Healthcare Data Analysts analyze healthcare data to improve the quality and efficiency of healthcare services. This course can help you gain the skills needed to collect, clean, and analyze healthcare data, as well as to visualize and present your findings. This course can help Healthcare Data Analysts develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Health Informatics Specialist
Health Informatics Specialist
Health Informatics Specialists use information technology to improve the quality and efficiency of healthcare services. This course can help you gain the skills needed to use information technology to collect, clean, and analyze healthcare data, as well as to develop and implement new healthcare technologies. This course can help Health Informatics Specialists develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Clinical Research Associate
Clinical Research Associate
Clinical Research Associates manage and conduct clinical trials. This course can help you gain the skills needed to design and implement clinical trials, as well as to analyze and interpret the results. This course can help Clinical Research Associates develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Biostatistician
Biostatistician
Biostatisticians use statistics to improve the quality and efficiency of healthcare services. This course can help you gain the skills needed to design and implement statistical studies, as well as to analyze and interpret the results. This course can help Biostatisticians develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and distribution of diseases. This course can help you gain the skills needed to design and implement epidemiological studies, as well as to analyze and interpret the results. This course can help Epidemiologists develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Public Health Analyst
Public Health Analyst
Public Health Analysts use data to improve the health of communities. This course can help you gain the skills needed to collect, clean, and analyze public health data, as well as to visualize and present your findings. This course can help Public Health Analysts develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Medical Physicist
Medical Physicist
Medical Physicists use physics to improve the quality and efficiency of healthcare services. This course can help you gain the skills needed to use physics to develop and implement new medical technologies, as well as to evaluate the safety and efficacy of existing technologies. This course can help Medical Physicists develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Healthcare Administrator
Healthcare Administrator
Healthcare Administrators plan, organize, and manage healthcare organizations. This course can help you gain the skills needed to manage healthcare organizations, as well as to develop and implement new healthcare policies. This course can help Healthcare Administrators develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Health Economist
Health Economist
Health Economists use economics to improve the health of the public. This course can help you gain the skills needed to analyze the costs and benefits of healthcare interventions, as well as to develop and implement new economic policies. This course can help Health Economists develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Health Policy Analyst
Health Policy Analyst
Health Policy Analysts analyze health policies to improve the health of the public. This course can help you gain the skills needed to analyze health policies, as well as to develop and implement new policies. This course can help Health Policy Analysts develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Healthcare Consultant
Healthcare Consultant
Healthcare Consultants advise healthcare organizations on how to improve their operations. This course can help you gain the skills needed to advise healthcare organizations, as well as to develop and implement new healthcare strategies. This course can help Healthcare Consultants develop the skills needed to use AI to improve the efficiency of chest disease detection and classification.
Medical Writer
Medical Writer
Medical Writers write about medical topics for a variety of audiences. This course can help you gain the skills needed to write clear and concise medical documents, as well as to use medical terminology correctly. This course can help Medical Writers develop the skills needed to write about AI and its applications in healthcare.
For more career information including salaries, visit:
OpenCourser.com/course/0kzoyp/ai
Reading list
We've selected 12 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
AI-Powered Chest Disease Detection and Classification.
Provides a theoretical and mathematical foundation for pattern recognition and machine learning algorithms, offering a deeper understanding of the principles underlying AI-powered chest disease detection.
Provides a comprehensive overview of machine learning for healthcare applications, including the use of machine learning for disease diagnosis and prognosis. It offers valuable insights into the practical implementation of AI in healthcare.
Provides a comprehensive overview of machine learning algorithms and their implementation in Python. It offers a solid foundation for understanding the principles and techniques used in AI-powered chest disease detection.
Provides a comprehensive overview of medical imaging techniques and principles, offering valuable background knowledge for understanding chest X-ray analysis. It covers the physics and technology behind various imaging modalities, providing a deeper understanding of the data used in AI-powered detection.
Provides an overview of machine learning techniques in healthcare, including applications in medical imaging, disease diagnosis, and drug discovery. It valuable resource for healthcare professionals and researchers interested in using machine learning to improve patient care.
Save
Provides a comprehensive overview of computer vision algorithms and their applications, offering a deeper understanding of the image processing and analysis techniques used in AI-powered chest disease detection.
Provides an overview of artificial intelligence (AI) techniques in healthcare, including applications in medical imaging, disease diagnosis, and drug discovery. It valuable resource for healthcare professionals and researchers interested in using AI to improve patient care.
Provides hands-on experience with deep learning using the Fastai library and PyTorch framework. It offers a practical approach to implementing AI models, complementing the course's focus on chest disease detection.
Provides a hands-on introduction to deep learning using Python, covering the fundamental principles and building blocks of deep learning models. It offers practical experience in implementing and training deep learning models.
Provides a gentle introduction to machine learning using Python, covering fundamental concepts and algorithms. It serves as a useful resource for learners who need to strengthen their foundation in machine learning.
Save
Explores the broader implications of AI in medicine, including ethical considerations and the potential impact on healthcare delivery. It offers a valuable perspective on the use of AI in chest disease detection.
Provides a gentle introduction to machine learning concepts and algorithms, serving as a useful resource for learners who need to strengthen their foundation in the subject.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0kzoyp/ai
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Automates the process of detecting and classifying chest disease from X-ray images, reducing the cost and time of detection
Suitable for students seeking a practical and directly applicable project to enhance their healthcare industry knowledge
Provides essential material for building a portfolio of projects for job interviews
Applicable for beginners and intermediate learners seeking to enhance their skills in artificial intelligence and medical imagery
Uses deep learning techniques, which are proven superior in detecting and classifying diseases using imagery data
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