Applied Mathematics for Healthcare Intelligent SystemsData Representation, Smart Healthcare, Deep Learning and Medical Imaging\nAuthor(s): Monika Sethi, Shivani Sood, Saravjeet Singh, Arfat Ahmad Khan\nFormat: Hardback\nPublisher: De Gruyter, Germany\nImprint: De Gruyter Mouton\nISBN-13: 9783112226216, 978-3112226216\nSynopsis\nThis book offers a comprehensive and interdisciplinary perspective on healthcare intelligent systems, highlighting the growing role of applied mathematics, data-driven methodologies, and artificial intelligence in modern healthcare. The book brings together scholarly contributions that explore how intelligent models, data representations, and computational techniques are applied to healthcare diagnostics, medical imaging, and clinical decision-support systems.\n\nThe chapters cover a wide range of topics, including medical imaging modalities, data handling and representation, deep learning techniques, explainable and trustworthy artificial intelligence, genera.
Applied Mathematics for Healthcare Intelligent SystemsData Representation, Smart Healthcare, Deep Learning and Medical Imaging\nAuthor(s): Monika Sethi, Shivani Sood, Saravjeet Singh, Arfat Ahmad Khan\nFormat: Hardback\nPublisher: De Gruyter, Germany\nImprint: De Gruyter Mouton\nISBN-13: 9783112226216, 978-3112226216\nSynopsis\nThis book offers a comprehensive and interdisciplinary perspective on healthcare intelligent systems, highlighting the growing role of applied mathematics, data-driven methodologies, and artificial intelligence in modern healthcare. The book brings together scholarly contributions that explore how intelligent models, data representations, and computational techniques are applied to healthcare diagnostics, medical imaging, and clinical decision-support systems.\n\nThe chapters cover a wide range of topics, including medical imaging modalities, data handling and representation, deep learning techniques, explainable and trustworthy artificial intelligence, genera.
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