AI-Powered COVID-19 Prediction - Gopalan, Angeline Prasanna;Siluvairathinam, Jinu Paulson
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In an era where rapid and accurate COVID-19 diagnosis can mean the difference between life and death, this groundbreaking work presents a sophisticated artificial intelligence framework for predicting disease severity. Drawing from cutting-edge research in deep learning and medical imaging, the authors introduce innovative approaches including attention-based UNet architecture and marginal space deep ambiguity transfer learning. This comprehensive study offers healthcare professionals and researchers a robust methodology for analyzing chest CT images and predicting COVID-19 severity levels…mehr

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Produktbeschreibung
In an era where rapid and accurate COVID-19 diagnosis can mean the difference between life and death, this groundbreaking work presents a sophisticated artificial intelligence framework for predicting disease severity. Drawing from cutting-edge research in deep learning and medical imaging, the authors introduce innovative approaches including attention-based UNet architecture and marginal space deep ambiguity transfer learning. This comprehensive study offers healthcare professionals and researchers a robust methodology for analyzing chest CT images and predicting COVID-19 severity levels with unprecedented accuracy. The book bridges the gap between theoretical AI concepts and practical medical applications, presenting a detailed examination of multi-scale learning techniques and their implementation in real-world scenarios. Whether you're a medical professional seeking to enhance diagnostic capabilities or a researcher interested in the intersection of AI and healthcare, this work provides valuable insights into the future of pandemic response and management.
Autorenporträt
Dr. Angeline Prasanna Gopalan is working as Associate Professor in the Department of Computer Science (PG) at Kristu Jayanti (Deemed to be University), Bengaluru. She is having 17 years of teaching experience. She Published more than 70 Articles in Scopus, SCI and Peer Reviewed Journals and She Guided 25 M.Phil., and 6 Ph.D., Scholars.