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Herausgeber: 
  • Muhammad Aamir
  • Ziaur Rahman
  • Uzair Aslam Bhatti
  • Deep Learning in Medical Signal and Image Processing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Mai 2025  
    Genre:  Ratgeber 
     
    Alzheimer s Disease Detection / Artificial Intelligence (AI)-Driven Healthcare / Attention Driven Feature Fusion / Biomedical Signal Processing Techniques / Brain MRI Scans / Brain Tumor Classification / Convolut
    ISBN:  9798369398166 
    EAN-Code: 
    9798369398166 
    Verlag:  IGI Global 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 286 mm / B 221 mm / D 38 mm 
    Gewicht:  1826 gr 
    Seiten:  632 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Deep learning is revolutionizing the analysis of medical signals and images, offering unprecedented advancements in diagnostic accuracy and efficiency. Techniques such as convolutional and recurrent neural networks are transforming the processing of radiological scans, ultrasound images, and ECG readings. By enabling more detailed and precise interpretations, deep learning enhances the ability of healthcare providers to make timely and informed decisions. These innovations are reshaping medical workflows, improving patient outcomes, and paving the way for a future of more reliable and efficient healthcare solutions. Deep Learning in Medical Signal and Image Processing offers a comprehensive examination of deep learning, specifically through convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to medical data. It explores the application of AI in the analysis of medical signals and images. Covering topics such as diagnostic accuracy, enhanced decision-making, and data augmentation techniques, this book is an excellent resource for medical practitioners, clinicians, data scientists, AI researchers, healthcare professionals, engineers, professionals, researchers, scholars, academicians, and more.

      



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