Machine learning and AI techniques in interactive medical image analysis [electronic resource] / Lipismita Panigrahi, Sandeep Biswal, Akash Kumar Bhoi, Akhtar Kalam, Paolo Barsocchi.
- 其他作者：
- 其他題名：
- Machine learning and artificial intelligence techniques in interactive medical image analysis
- Advances in medical technologies and clinical practice book series.
- 出版： Hershey, Pennsylvania : IGI Global 2023.
- 叢書名： Advances in medical technologies and clinical practice (AMTCP) book series
- 主題： Diagnostic imaging--Data processing. , Image analysis--Data processing. , Artificial intelligence--Medical applications. , Machine learning. , Imaging systems in medicine. , Diagnostic Imaging , Medical Informatics , Artificial Intelligence , Computational Biology , Electronic books.
- ISBN： 9781668446737 (electronic bk.) 、 1668446715 、 9781668446713
- URL：
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- 一般註：Includes bibliographical references and index. Chapter 1. Deep learning in retinal diseases diagnosis: a review -- Chapter 2. Study of the current trends of CAD (computer-aided detection) in modern medical imaging -- Chapter 3. Medical image analysis with intelligent techniques -- Chapter 4. Detection of COVID-19 from chest x-ray images using machine learning -- Chapter 5. Detection of COVID-19 infection using chest x-ray images -- Chapter 6. Automatic detection of lung cancer using the potential of artificial intelligence (AI) -- Chapter 7. Parasite detection from digital images using deep learning -- Chapter 8. Approximation-aided epilepsy detection using linear and non-linear classifiers -- Chapter 9. Cardiac image-based heart disease diagnosis using bio-inspired optimized technique for feature selection to enhance classification accuracy -- Chapter 10. The use of AI and structural magnetic resonance imaging in the diagnosis of major depressive disorder. 112年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤：
- 系統號： 000306485 | 機讀編目格式
館藏資訊
The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.
摘要註
"The healthcare industry is predominantly moving towards affordable, accessible, and quality health care and this book investigates how organizations are striving hard to build communication compatibility among the wide range of devices that have operated independently and therefore boosting the research in the medical imaging field"--