Bokus
Abdussalam Elhanashi, Sergio Saponara - Computer Vision for Medical Imaging Understanding, Häftad

Häftad, Engelska, 2027

Computer Vision for Medical Imaging Understanding

Av Abdussalam Elhanashi, Sergio Saponara

1818 kr

Kommande

Beskrivning
Computer Vision for Medical Imaging Understanding presents a rigorous synthesis of computer vision, deep learning, and medical imaging science, addressing the need for a structured, clinically relevant resource amid rapid AI advances. The book targets researchers, clinicians, and students seeking to translate state-of-the-art algorithms into reliable imaging tools. Topics span foundational theory, data preparation, and evaluation, through to practical deployments in diagnostics, organ delineation, and disease characterization. It emphasizes data privacy, federated learning, and explainable AI as essential components for trustworthy, scalable healthcare applications.

  • Provides comprehensive coverage of AI and deep learning for medical imaging from fundamentals to advanced topics
  • Delivers hands-on frameworks and implementation guidance across Python, TensorFlow, PyTorch, MATLAB, and more
  • Integrates privacy-preserving AI, federated learning, and explainable AI for clinical adoption
  • Demonstrates data handling, annotation, augmentation, and evaluation metrics for robust model development
  • Enables deployment on edge devices and integration into clinical workflows
Produktinformation
  • Utgivningsdatum: 2027-03-01
  • Mått: 191 x 235 x undefined mm
  • Vikt: 450 g
  • Format: Häftad
  • Språk: Engelska
  • Antal sidor: 325
  • Förlag: Elsevier Science
  • ISBN: 9780443517624
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Mer om författaren

Abdussalam Elhanashi, PhD, is a Senior AI Researcher , and an IEEE Senior Member, with expertise in artificial intelligence, deep learning, computer vision, image and video processing, intelligent surveillance, IoT, and edge computing. He holds a Ph.D. in Information Engineering from the University of Pisa, an M.Sc. from the University of Glasgow, and an MBA from the University of Nicosia.His research focuses on the development and real-world deployment of intelligent systems across healthcare, surveillance, industrial, and IoT-enabled applications, with particular emphasis on computer vision, video analytics, medical imaging, lightweight deep learning, embedded and edge AI, and efficient image and video processing. He has conducted research collaborations with the University of Strathclyde in the UK and Hiroshima University in Japan, contributing to multidisciplinary research in AI and intelligent systems. He contributes to imaging informatics through the Society for Imaging Informatics in Medicine (SIIM) and serves as an editor and reviewer for international scientific journals. He is the author of four technical books published by Elsevier, Springer, and MDPI.Sergio Saponara, Director of the Department of Information Engineering at the University of Pisa, IEEE Distinguished Lecturer, obtained his Master's degree cum laude and Ph.D. in Electronic Engineering from the University of Pisa. In 2002, he was a Marie Curie Research Fellow at the Inter-university Microelectronics Center (IMEC) in Leuven, Belgium. He was also a post-graduate researcher at the National Research Council. Currently, he is a Full Professor of Electronics at the University of Pisa, where he teaches courses in Vehicular Electronics, Electronic Systems for Robotics, HW and Embedded Security for the Master's degrees in Vehicle Engineering, Robotics and Automation Engineering, and Cybersecurity. Additionally, he teaches Electronics at the Italian Naval Academy in Livorno. Prof. Saponara was President of the Bachelor's and Master's programs in Electronic Engineering at the University of Pisa. He has co-authored 400 scientific articles indexed in Scopus and 20 patents. He is a Founding Member of the IoT CASS SiG and has been a Program Committee Member for over 100 international IEEE and SPIE conferences. He also serves as the Director of the summer school "Enabling Technologies for the Internet of Things (IoT)" and the specialization course "Automotive Electronics and Powertrain Electrification." He is also the Director of the interUniversity Center for Automotive Research (UCAR).

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