Medical Imaging Informatics Machine learning, deep learning and big data analytics
Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are con...
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| Main Authors | , , , |
|---|---|
| Format | eBook |
| Language | English |
| Published |
Stevenage
The Institution of Engineering and Technology
2024
Institution of Engineering and Technology (The IET) Institution of Engineering & Technology Institution of Engineering and Technology |
| Edition | 1 |
| Series | Healthcare technologies |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems.
This edited book highlights and addresses various issues in medical imaging and provides viable solutions utilising artificial intelligence and big data tools. This book discusses techniques, algorithms, and tools which help build and develop research practices, platforms, and applications in medical image informatics.
Medical image enhancement, big data analytics and artificial intelligence models are discussed with relation to applications in the detection of cancer, autism, allergies and diabetes. The design and development of internet of medical things and virtual reality tools for mental health disorders are also explored.
This book is suitable reading for researchers and scientists, in both academia and industry, working in computer science and engineering, machine learning, image processing, and healthcare technologies. Those in aligned professions, such as healthcare practitioners, administrators, designers and developers may also find the subject matter of interest. |
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| AbstractList | Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems.
This edited book highlights and addresses various issues in medical imaging and provides viable solutions utilising artificial intelligence and big data tools. This book discusses techniques, algorithms, and tools which help build and develop research practices, platforms, and applications in medical image informatics.
Medical image enhancement, big data analytics and artificial intelligence models are discussed with relation to applications in the detection of cancer, autism, allergies and diabetes. The design and development of internet of medical things and virtual reality tools for mental health disorders are also explored.
This book is suitable reading for researchers and scientists, in both academia and industry, working in computer science and engineering, machine learning, image processing, and healthcare technologies. Those in aligned professions, such as healthcare practitioners, administrators, designers and developers may also find the subject matter of interest. Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems.This edited book highlights and addresses various issues in medical imaging and provides viable solutions utilising artificial intelligence and big data tools. This book discusses techniques, algorithms, and tools which help build and develop research practices, platforms, and applications in medical image informatics.Medical image enhancement, big data analytics and artificial intelligence models are discussed with relation to applications in the detection of cancer, autism, allergies and diabetes. The design and development of internet of medical things and virtual reality tools for mental health disorders are also explored.This book is suitable reading for researchers and scientists, in both academia and industry, working in computer science and engineering, machine learning, image processing, and healthcare technologies. Those in aligned professions, such as healthcare practitioners, administrators, designers and developers may also find the subject matter of interest. Medical Imaging Informatics is an edited book that discusses how medical images can be processed using machine learning techniques and big data analysis methods. These tools help physicians to gain a full overview of a patient's data, which in turn assists with diagnosis, prognosis or intervention. Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems. |
| Author | Goyal Vishal Rashid Mamoon Bashir Ali Kashif Hakak Saqib |
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| Copyright | 2024 |
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| DOI | 10.1049/PBHE057E |
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| Editor | Goyal, Vishal Bashir, Ali Kashif Rashid, Mamoon Hakak, Saqib |
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| PublicationDate | 2024 2023-12-20 |
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| PublicationDecade | 2020 |
| PublicationPlace | Stevenage |
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| PublicationSeriesTitle | Healthcare technologies |
| PublicationYear | 2024 2023 |
| Publisher | The Institution of Engineering and Technology Institution of Engineering and Technology (The IET) Institution of Engineering & Technology Institution of Engineering and Technology |
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| Snippet | Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data... Medical Imaging Informatics is an edited book that discusses how medical images can be processed using machine learning techniques and big data analysis... |
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| SubjectTerms | Biochemistry, Biology & Biotechnology Biotechnology Diagnostic imaging General References Imaging Systems Imaging systems & technology Medical imaging Medical informatics Software Engineering TECHNOLOGY & ENGINEERING |
| Subtitle | Machine learning, deep learning and big data analytics |
| TableOfContents | Section 1: Medical image analysis using artificial intelligence -- Chapter 1: Intervention of medical images for disease prediction -- Chapter 2: Breast cancer detection in pathological imaging using deep learning methods -- Chapter 3: Detection of autism spectrum disorder using artificial intelligence -- Chapter 4: Lossless medical image compression and noise removal using deep learning models -- Chapter 5: Prediction of diabetes using voting classification algorithms -- Chapter 6: Use of deep learning approaches for the prediction of diseases from medical images -- Chapter 7: Deep learning approach for the prediction of diseases in medical images -- Chapter 8: Detection of food allergy using deep learning --
-- Section 2: Use of AI-enabled IoT in healthcare -- Chapter 9: Design and development of Internet of Things and artificial intelligence-based medical imaging system -- Chapter 10: Internet of Things and medical imaging AI systems -- Chapter 11: Role of artificial intelligence in medical IoT devices --
-- Section 3: Applications of artificial intelligence in healthcare -- Chapter 12: Internet automation indulgence of virtual reality in psychiatric health disorder -- Chapter 13: Role of big data analytics in healthcare systems -- Title Page Table of Contents 1. Intervention of Medical Images for Disease Prediction 2. Breast Cancer Detection in Pathological Imaging Using Deep Learning Methods 3. Detection of Autism Spectrum Disorder Using Artificial Intelligence 4. Lossless Medical Image Compression and Noise Removal Using Deep Learning Models 5. Prediction of Diabetes Using Voting Classification Algorithms 6. Use of Deep Learning Approaches for the Prediction of Diseases from Medical Images 7. Deep Learning Approach for the Prediction of Diseases in Medical Images 8. Detection of Food Allergy Using Deep Learning 9. Design and Development of Internet of Things and Artificial Intelligence-Based Medical Imaging System 10. Internet of Things and Medical Imaging AI Systems 11. Role of Artificial Intelligence in Medical IoT Devices 12. Internet Automation Indulgence of Virtual Reality in Psychiatric Health Disorder 13. Role of Big Data Analytics in Healthcare Systems Index Intro -- Contents -- About the editors -- Section 1: Medical image analysis using artificial intelligence -- 1. Intervention of medical images for disease prediction | Neha Singh, Shilpi Birla and Neeraj Kumar Shukla -- 2. Breast cancer detection in pathological imaging using deep learning methods | Bharati Ainapure and Reshma Pise -- 3. Detection of autism spectrum disorder using artificial intelligence | Kaushal Oza, Shree Udavant and Mamoon Rashid -- 4. Lossless medical image compression and noise removal using deep learning models | N. Karthikeyan, N. Pooranam, D. Surendran and M. Sivakumar -- 5. Prediction of diabetes using voting classification algorithms | Sunil Gupta, Neha Sharma, Gagandeep Kaur and Anita Sardana -- 6. Use of deep learning approaches for the prediction of diseases from medical images | Amrita Thakur, Kushagra Nagori, Ayushman Rao and Neeta Rai -- 7. Deep learning approach for the prediction of diseases in medical images | Sabeena Hussain and Sonali Powar -- 8. Detection of food allergy using deep learning | Abdul Majid Soomro, Sanjoy Kumar Debnath, Awad Bin Naeem, Susama Bagchi, Neha Sharma, Kamal Saluja and Sunil Gupta -- Section 2: Use of AI-enabled IoT in healthcare -- 9. Design and development of Internet of Things and artificial intelligence-based medical imaging system | Rupali A. Mahajan, Smita Chavan, Prajakta Ajay Khadkikar, Gayatri Mahendra Bhandari and Jyoti Manish Shinde -- 10. Internet of Things and medical imaging AI systems | Rajakumar Arul, Kalaipriyan Thirugnanasambandam and M. Kiruthigga -- 11. Role of artificial intelligence in medical IoT devices | Ankita Wadhawan, Nagnath Aherwadi and Usha Mittal -- Section 3: Applications of artificial intelligence in healthcare 12. Internet automation indulgence of virtual reality in psychiatric health disorder | Shweta Pandey, Samta Kathuria, Rajesh Singh and Anita Gehlot -- 13. Role of big data analytics in healthcare systems | Prathamesh Suhas Uravane, Vedant Vinay Ganthade, Adityaraj Sanjay Belhe, Abhiraj Sandeep Gadade and Mamoon Rashid -- Index |
| Title | Medical Imaging Informatics |
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