Human Cancer Diagnosis and Detection Using Exascale Computing

Kapil Joshi,Somil Kumar Gupta

• Éditeur: Wiley-Scrivener
• Année: 2024
• ISBN:
  9781394197699
• Édition: 1
• Sujet: Medicina
• Sous-sujet: Oncología

Human Cancer Diagnosis and Detection Using Exascale Computing

The book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology.

Exascale computing has the potential to increase our ability in terms of computation to develop efficient methods for a better healthcare system. This technology promises to revolutionize cancer diagnosis and detection, ushering in an era of unprecedented precision, speed, and efficiency. The fusion of exascale computing with the field of oncology has the potential to redefine the boundaries of what is possible in the fight against cancer.

The book is a comprehensive exploration of this transformative unification of science, medicine, and technology. It delves deeply into the realm of exascale computing and its profound implications for cancer research and patient care. The 18 chapters are authored by experts from diverse fields who have dedicated their careers to pushing the boundaries of what is achievable in the realm of cancer diagnosis and detection. The chapters cover a wide range of topics, from the fundamentals of exascale computing and its application to cancer genomics to the development of advanced imaging techniques and machine learning algorithms. Explored is the integration of data analytics, artificial intelligence, and high-performance computing to move cancer research to the next phase and support the creation of novel medical tools and technology for the detection and diagnosis of cancer.

Audience

This book has a wide audience from both computer sciences (information technology, computer vision, artificial intelligence, software engineering, applied mathematics) and the medical field (biomedical engineering, bioinformatics, oncology). Researchers, practitioners and students will find this groundbreaking book novel and very useful.

Table des matières

• Cover
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 Evaluating the Impact of Healthcare 4.0 on the Performance of Hospitals
• Chapter 2 Human Breast Cancer Classification Employing the Machine Learning Ensemble
• Chapter 3 Multi-Objective Differential Development Using DNN for Multimodality Medical Image Fusion
• Chapter 4 Multimodal Deep Learning Analysis for Biomedical Data Fusion
• Chapter 5 Developing Robot-Based Neurorehabilitation Exercises Using a Teaching–Training Process
• Chapter 6 Investigation on Introduction to Heterogeneous Exascale Computing in the Medical Field
• Chapter 7 Adoption of Cloud Computing in the Healthcare Field Using the SEM Approach
• Chapter 8 Chest X-Ray Analysis for COVID-19 Diagnosis Using an Exascale Computation and Machine Learning Framework
• Chapter 9 3D-Printed Human Organ Designs with Tissue Physical Characteristics and Embedded Sensors
• Chapter 10 Fast Computing Network Infrastructure for Healthcare Systems Based on 6G Future Perspective
• Chapter 11 Analysis of Multimodality Fusion of Medical Image Segmentation Employing Deep Learning
• Chapter 12 New Perspectives, Challenges, and Advances in Data Fusion in Neuroimaging
• Chapter 13 The Potential of Cloud Computing in Medical Big Data Processing Systems
• Chapter 14 Deep Learning (DL) on Exascale Computing to Speed Up Cancer Investigation
• Chapter 15 Current Breakthroughs and Future Perspectives in Surgery Based on AI-Based Computing Vision
• Chapter 16 MRI-Based Brain Tumor Detection Using Machine Learning
• Chapter 17 Chili Pepper as a Natural Therapeutic Drug: A Review of Its Anticancer and Antioxidant Properties and Mechanism of Action Using the Machine Learning Approach
• Chapter 18 Exascale Computing: The Next Frontier of High-Performance Computing
• Index
• EULA