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Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management.

Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology.

This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems.

This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning.

FEATURES

Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management.

Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology.

This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems.

This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning.

FEATURES

A biofilm is a collection of microbial cells that have adhered to biotic surfaces such as plant cuticles or animal epithelia, as well as abiotic surfaces such as rocky substratum or catheter exteriors. The life cycle of a microorganism includes the fundamental process of biofilm formation for survival in diverse and harsh environments since it is a protected mode of growth allowing colonisation of new habitats by dispersal of microbes from the microbial clusters. The biofilm bound microorganisms remain embedded in an extracellular polymeric matrix that protects the indwelling cells from surfactants, biocides, several invaders like protozoans, and defences offered by the hosts like phagocytic cells. The biofilm bound recalcitrant microbes induce chronic and nosocomial diseases, posing a serious threat to public health. It has been observed that various antimicrobial drugs are able to successfully remove the planktonic (freely suspended) states of microbes as compared to the sessile (substrate-bound) forms, thus resulting in the development of antimicrobial resistance.

Modern pharmacological strategies targeting the biofilm matrix differ from the conventional methods of antibiotic usage. This includes the use of natural compounds such as plant bioactive molecules, antimicrobial peptides, green synthesised nanoparticles, or secondary metabolites from other organisms that not only prevent the rise of antimicrobial resistance but are also safe for the host tissues.

Biofilm Associated Antimicrobial Resistance and Its Recovery provides a detailed and systematic review of alternative pharmacological developments in the field of biofilm research.

Features:

This book serves as a resource for researchers who need to understand and analyze the progression of events during microbial biofilm formation, as well as design safer methodologies for its successful eradication. It may also be used as a textbook for a graduate level course in microbiology or microbial biotechnology.

A biofilm is a collection of microbial cells that have adhered to biotic surfaces such as plant cuticles or animal epithelia, as well as abiotic surfaces such as rocky substratum or catheter exteriors. The life cycle of a microorganism includes the fundamental process of biofilm formation for survival in diverse and harsh environments since it is a protected mode of growth allowing colonisation of new habitats by dispersal of microbes from the microbial clusters. The biofilm bound microorganisms remain embedded in an extracellular polymeric matrix that protects the indwelling cells from surfactants, biocides, several invaders like protozoans, and defences offered by the hosts like phagocytic cells. The biofilm bound recalcitrant microbes induce chronic and nosocomial diseases, posing a serious threat to public health. It has been observed that various antimicrobial drugs are able to successfully remove the planktonic (freely suspended) states of microbes as compared to the sessile (substrate-bound) forms, thus resulting in the development of antimicrobial resistance.

Modern pharmacological strategies targeting the biofilm matrix differ from the conventional methods of antibiotic usage. This includes the use of natural compounds such as plant bioactive molecules, antimicrobial peptides, green synthesised nanoparticles, or secondary metabolites from other organisms that not only prevent the rise of antimicrobial resistance but are also safe for the host tissues.

Biofilm Associated Antimicrobial Resistance and Its Recovery provides a detailed and systematic review of alternative pharmacological developments in the field of biofilm research.

Features:

This book serves as a resource for researchers who need to understand and analyze the progression of events during microbial biofilm formation, as well as design safer methodologies for its successful eradication. It may also be used as a textbook for a graduate level course in microbiology or microbial biotechnology.

This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data. It further highlights the importance of 5G and 6G communication for telemedicine applications and applications of machine learning and deep learning in pandemic epidemiology.

This book:

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including computer science and engineering, electronics and communications engineering, and biomedical engineering.

This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data. It further highlights the importance of 5G and 6G communication for telemedicine applications and applications of machine learning and deep learning in pandemic epidemiology.

This book:

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including computer science and engineering, electronics and communications engineering, and biomedical engineering.

Explore the latest healthcare applications of cutting-edge technologies

In IoT-Enabled Smart Healthcare Systems, Services and Applications, an accomplished team of researchers delivers an insightful and comprehensive exploration of the roles played by cutting-edge technologies in modern healthcare delivery. The distinguished editors have included resources from a diverse array of learned experts in the field that combine to create a broad examination of a rapidly developing field.

With a particular focus on Internet of Things (IoT) technologies, readers will discover how new technologies are impacting healthcare applications from remote monitoring systems to entire healthcare delivery methodologies. After an introduction to the role of emerging technologies in smart health care, this volume includes treatments of ICN-Fog computing, edge computing, security and privacy, IoT architecture, vehicular ad-hoc networks (VANETs), and patient surveillance systems, all in the context of healthcare delivery.

Readers will also find:

Perfect for healthcare practitioners and allied health professionals, hospital administrators, and technology professionals, IoT-Enabled Smart Healthcare Systems, Services and Applications is an indispensable addition to the libraries of healthcare regulators and policymakers seeking a one-stop resource that explains cutting-edge technologies in modern healthcare.

Explore the latest healthcare applications of cutting-edge technologies

In IoT-Enabled Smart Healthcare Systems, Services and Applications, an accomplished team of researchers delivers an insightful and comprehensive exploration of the roles played by cutting-edge technologies in modern healthcare delivery. The distinguished editors have included resources from a diverse array of learned experts in the field that combine to create a broad examination of a rapidly developing field.

With a particular focus on Internet of Things (IoT) technologies, readers will discover how new technologies are impacting healthcare applications from remote monitoring systems to entire healthcare delivery methodologies. After an introduction to the role of emerging technologies in smart health care, this volume includes treatments of ICN-Fog computing, edge computing, security and privacy, IoT architecture, vehicular ad-hoc networks (VANETs), and patient surveillance systems, all in the context of healthcare delivery.

Readers will also find:

Perfect for healthcare practitioners and allied health professionals, hospital administrators, and technology professionals, IoT-Enabled Smart Healthcare Systems, Services and Applications is an indispensable addition to the libraries of healthcare regulators and policymakers seeking a one-stop resource that explains cutting-edge technologies in modern healthcare.

This volume has as its primary aim the examination of issues concerning executive function and frontal lobe development. While many texts have addressed these issues, this is the first to do so within a specifically developmental framework.

This area of cognitive function has received increasing attention over the past decade, and it is now established that the frontal lobes, and associated executive functions, are critical for efficient functioning in daily life. It is also clear, and of particular relevance to this text, that these functions develop gradually through childhood, and then deteriorate during old age. These developmental trajectories, and the impact of any interruption to them, are the focus of this volume.

This volume has as its primary aim the examination of issues concerning executive function and frontal lobe development. While many texts have addressed these issues, this is the first to do so within a specifically developmental framework.

This area of cognitive function has received increasing attention over the past decade, and it is now established that the frontal lobes, and associated executive functions, are critical for efficient functioning in daily life. It is also clear, and of particular relevance to this text, that these functions develop gradually through childhood, and then deteriorate during old age. These developmental trajectories, and the impact of any interruption to them, are the focus of this volume.