Deep Learning for Medical Decision Support Systems / / by Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut |
Autore | Kose Utku |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (xviii, 171 pages) : illustrations |
Disciplina | 610.28563 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Computational intelligence
Machine learning Health informatics Optical data processing Signal processing Image processing Speech processing systems Computational Intelligence Machine Learning Health Informatics Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Image and Speech Processing |
ISBN | 981-15-6325-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Deep Learning for Innovative Medical Decision Support -- Deep Learning and Image Analysis for Medical Decision Support -- Deep Learning Oriented Systems for Medical Education -- Hybrid Deep Systems for Medical Education and Decision Support. |
Record Nr. | UNINA-9910483237803321 |
Kose Utku
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Deep Learning for Personalized Healthcare Services / / ed. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee |
Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2021] |
Descrizione fisica | 1 online resource (XVIII, 250 p.) |
Collana | Intelligent Biomedical Data Analysis |
Soggetto topico | COMPUTERS / Social Aspects / General |
Soggetto genere / forma | Electronic books. |
ISBN | 3-11-070812-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Preface -- Acknowledgments -- Contents -- Short Biography of Editors -- List of Contributors -- Deep learning for health and medicine -- Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare -- Advanced deep learning techniques and applications in healthcare services -- Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 -- Early cancer predictions using ensembles of machine learning and deep learning -- Deep learning in patient management and clinical decision making -- Patient health record system -- Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services -- Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer -- Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses -- An overview of the technological performance of deep learning in modern medicine -- Index |
Record Nr. | UNINA-9910554282103321 |
Berlin ; ; Boston : , : De Gruyter, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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