Artificial Intelligence and Internet of Things
Applications in Smart Healthcare
Sorozatcím: Innovations in Big Data and Machine Learning;
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Beszerezhetőség
Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
A Prosperónál jelenleg nincsen raktáron.
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A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadás sorszáma 1
- Kiadó CRC Press
- Megjelenés dátuma 2024. október 4.
- ISBN 9780367562953
- Kötéstípus Puhakötés
- Terjedelem398 oldal
- Méret 234x156 mm
- Súly 594 g
- Nyelv angol
- Illusztrációk 80 Illustrations, black & white; 44 Halftones, black & white; 43 Line drawings, black & white; 48 Tables, black & white 659
Kategóriák
Rövid leírás:
This book reveals the applications of AI & IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems and their findings in e-healthcare services.
TöbbHosszú leírás:
This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings.
The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care.
This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.
Tartalomjegyzék:
PART I: AI Applications in Healthcare
Chapter 1: AI Technologies in Health-care Applications
Sajid Iqbal, Mehreen Tariq, Hareem Ayesha, Noor Ayesha
Chapter 2: Two-Level Breast Cancer Staging Diagnosis
Sahar Bayoumi, Sanaa Ghouzali, Souad Larabi-Marie-Sainte, Hanaa Kamel
Chapter 3: Breast Cancer Diagnostic Analysis based on Convolutional Neural Networks
Muhammad Kashif, Amjad Rehman, Tariq Sadad, Zahid Mehmood
Chapter 4: Automated Medical Image Analysis in Digital Mammography
Mohsen Karimi, Majid Harouni, Shadi Rafieipour
Chapter 5: Precise Segmentation Techniques in Various Medical Images
Majid Harouni, Mohsen Karimi, Shadi Rafieipour
Chapter 6: Lung Cancer Detection and Diagnosis based on Deep Learning Models Evaluation
Tanzila Saba, Muhammad Kashif, Hind Alaskar, Erum Afzal
Chapter 7: Image-Based Glioblastoma Segmentation?Traditional versus Deep Learning Approaches: Analysis, Comparisons and Future Look
Amjad Rehman
Chapter 8: Artificial Intelligence Techniques for Glaucoma Detection Through Retinal Images?State of the Art
Ayesha Shoukat and Shahzad Akbar
Chapter 9: Artificial Intelligence in Brain Tumor Detection Through MRI Images?Advancements and Challenges
Sahar Gull and Shahzad Akbar
PART II: IoT Applications in Healthcare
Chapter 10: An Empirical Study of Domain, Design and Security of Remote-Health-Monitoring Cyber-Physical Systems
Albatool Al-katrang, Shahed Al-kharsa, Einaas Kharsah, Anees Ara
Chapter 11: IoT Security and Privacy Issues?A Game of Catch-Up
Atheer Almogbil
Chapter 12: Internet of Things for Mitigating Climate Change Impacts on Health
Rehab A. Rayan, Romash B. Iryna, Christos Tsagkaris, Imran Zafar
Chapter 13: Automated Hybrid Recommender System for Cardiovascular Disease with Applications in Smart Healthcare
Fouzia Jabeen, Zahid Mehmood, Muhammad Tahir, Rehan Mehmood Yousaf, Noor Ayesha
Chapter 14: Virtual Reality?Robotic Improved Surgical Precision using AI Techniques
Aditi and Aman Dureja
Chapter 15: Lung Nodule Detection and Classification Based on 2D and 3D Convolution Neural Networks (CNNs)
Hikmat Yar, Naveed Abbas, Tariq Sadad, Sajid Iqbal
