• Accueil   >  
  • Reference   >  
  • Computers   >  
  • Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods
Téléchargez le livre : Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods

Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods



de

,

Éditeur :

Academic Press


Paru le : 2023-04-30



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
137,15 €
Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description

Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities.
Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases. Investigates novel concepts of deep learning for acquisition of non-invasive biomedical image and signal modalities for different disorders Explores the implementation of novel deep learning and CNN methodologies and their impact studies that have been tested on different medical case studies Presents end-to-end CNN architectures for automatic detection of situations where early diagnosis is important Includes novel methodologies, datasets, design and simulation examples

Elsevier Science & Technology
Pages
302 pages
Collection
n.c
Parution
2023-04-30
Marque
Academic Press
EAN papier
9780323961295
EAN PDF
9780323996815
Informations sur l'ebook
Nombre pages copiables
30
Nombre pages imprimables
30
Taille du fichier
9226 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
137,15 €
EAN EPUB SANS DRM
9780323996815
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
137,15 €

Suggestions personnalisées