Medical Imaging Informatics Machine learning, deep learning and big data analytics

• Main Authors: Rashid, Mamoon, Goyal, Vishal, Bashir, Ali Kashif, Hakak, Saqib
• 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: Biochemistry, Biology & Biotechnology; Biotechnology; Diagnostic imaging; General References; Imaging Systems; Imaging systems & technology; Medical imaging; Medical informatics; Software Engineering; TECHNOLOGY & ENGINEERING
• ISBN: 9781839537431; 1839537434
• DOI: 10.1049/PBHE057E

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...

Table of Contents:

• 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