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    Browsing by Author Ben Othman Soufiene

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    • TVS.006896_Ben Othman Soufiene, Chinmay Chakraborty - Machine Learning and Deep Learning Techniques for Medical Image Recognition-CRC Press (2024)-GT.pdf.jpg
    • Sách/Book

    • Machine learning and deep learning techniques for medical image recognition

      • Authors: Ben Othman Soufiene (2024)

    • "Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory, and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. The book offers important key aspects in the development and implementat...
    • TVS.005050_(Advances in Smart Healthcare Technologies) Ben Othman Soufene, Chinmay Chakraborty, Faris A. Almalki - Practical Artificial Intelligence f-1.pdf.jpg
    • Sách/Book

    • Practical artificial intelligence for internet of medical things : emerging trends, issues, and challenges

      • Authors: Ben Othman Soufiene (2023)

    • This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Fo...