Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International ... (Notes in Computer Science Book 10553)

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International ... (Notes in Computer Science Book 10553)

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2017 · 영어 · 킨들
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설명

At the forefront of innovation in healthcare, this collection of works explores the transformative role of deep learning in medical image analysis and multimodal learning. Brought together from the Third International Workshop, these proceedings delve into cutting-edge research and applications that aim to enhance clinical decision-making processes.

Contributors tackle various challenges associated with analyzing complex medical data, utilizing advanced algorithms and techniques to improve the accuracy and efficiency of diagnoses. The integration of multimodal data—combining imaging, clinical data, and more—presents novel methodologies that promise to revolutionize patient care and streamline workflows in medical practices.

The book serves as a vital resource for researchers and practitioners looking to stay ahead in the rapidly evolving domain of medical informatics. It highlights not just the theoretical underpinnings, but practical solutions and insights that can directly impact the future of healthcare technologies, fostering a deeper understanding of the interplay between machine learning and clinical applications.

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형식 킨들
페이지 404 페이지
언어 영어
출판됨 Jan 1, 2017
출판사 Springer
판 1st ed. 2017
ISBN-10 3319675583
ISBN-13 9783319675589

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