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Deep Learning for Cancer Diagnosis / / edited by Utku Kose, Jafar Alzubi
| Deep Learning for Cancer Diagnosis / / edited by Utku Kose, Jafar Alzubi |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 300 p. 118 illus., 87 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Cancer Medical informatics Image processing - Digital techniques Computer vision Signal processing Computational Intelligence Machine Learning Cancer Biology Health Informatics Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing |
| ISBN | 981-15-6321-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning for Enhancing Cancer Diagnosis -- Improved Deep Learning Techniques for Better Cancer Diagnosis -- Deep Learning for Diagnosing Rare Cancer Types -- Deep Learning for Histopathological Diagnosis -- Effective Use of Deep Learning and Image Processing for Cancer Diagnosis. |
| Record Nr. | UNINA-9910483238803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning for Medical Decision Support Systems / / by Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
| 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 Nature 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 Medical informatics Image processing - Digital techniques Computer vision Signal processing Computational Intelligence Machine Learning Health Informatics Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image 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 Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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IoT Technologies and Wearables for HealthCare : 5th EAI International Conference, HealthWear 2024, Virtual Event, December 2–3, 2024, Proceedings / / edited by Utku Kose, Jafar Alzubi
| IoT Technologies and Wearables for HealthCare : 5th EAI International Conference, HealthWear 2024, Virtual Event, December 2–3, 2024, Proceedings / / edited by Utku Kose, Jafar Alzubi |
| Autore | Kose Utku |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (298 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) | AlzubiJafar |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Medical informatics
Artificial intelligence Application software Computer systems Computers, Special purpose Computer networks Health Informatics Artificial Intelligence Computer and Information Systems Applications Computer System Implementation Special Purpose and Application-Based Systems Computer Communication Networks |
| ISBN | 3-031-95571-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Emerging Applications. -- Enhancing Remote Monitoring and Diagnosis of Heart Diseases through IoT and Machine Learning Integration. -- CigEst: A Machine Learning-based Wearable device for monitoring smoking habit. -- Digital innovation for individual approach to incorrect spine posture in adolescents “NOVA-SPINE”. -- Artificial Intelligence-Enabled Smart Glasses and Mobile Application for the Visually Impaired: Innovative Solutions in Wearable Health Technologies. -- Examining Personalized Explainable Recommendations that Support College Students on Stress Management. -- Analysis Applications. -- Leveraging mHealth and Artificial Intelligence for Enhanced Health Indicators, a TwiMV framework proposal. -- Hardware Analysis for Low-Cost Wearable ECG Monitoring and Analysis System. -- A method for detecting key fiducial points in electrocardiographic signals for wave characterization and HRV analysis. -- Minimum Routing Cost Algorithm Based on Quality of Service in Wireless Mesh Networks. -- Cybersecurity. -- Navigating Cybersecurity Challenges in Healthcare: Challenges, Innovations, and EU Legal Framework for Connected Medical Devices. -- A Study and Assessment of the Importance of Cybersecurity in the Internet of Things for Healthcare Wearables. -- Integrating Artificial Intelligence and Cybersecurity in Healthcare for the Advancements of Industry 5.0. |
| Record Nr. | UNINA-9911011648003321 |
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Kose Utku
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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