Recent Trends In Computer Aided Diagnostic Systems For Skin Diseases

Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis provides comprehensive coverage on the development of computer-aided diagnostic (CAD) systems employing image processing and machine learning tools for improved, uniform evaluation and diagnosis (avoiding subjective judgment) of skin disorders. The methods and tools are described in a general way so that these tools can be applied not only for skin diseases but also for a wide range of analogous problems in the domain of biomedical systems. Moreover, quantification of clinically relevant information that can associate the findings of physicians/experts is the most challenging task of any CAD system. This book gives all the details in a step-by-step form for different modules so that the readers can develop each of the modules like preprocessing, feature extraction/learning, disease classification, as well as an entire expert diagnosis system themselves for their own applications. Demonstrates extensive calculations for illustrating the theoretical analysis of advanced image processing and machine learning techniques Provides a comprehensive coverage on the development of various signal processing tools for the extraction of statistical and clinically correlated features from skin lesion images Describes image processing and machine learning techniques for improved uniform evaluation and diagnosis of skin disorders

This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions. The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.

Provides the latest information on imaging technologies and transdermal delivery in skin disorders This important, timely book covers the latest understanding about today's major skin disorders, the development of imaging technologies for skin diagnosis, and the applications of micro/nano-technologies for the treatment of skin complications. It also places great emphasis on the critical role that interdisciplinary science occupies to achieve the requisite level of understanding of skin conditions and their management, which is essential to creating technologies that work. Imaging Technologies and Transdermal Delivery in Skin Disorders starts by outlining the structural characteristics of skin and skin appendages. It then discusses the key pathways involved in skin growth and development. Clinical presentations, pathophysiological mechanisms, and current clinical practices used to treat diseases affecting the skin are then introduced. Common preclinical models used for studying the mechanisms of diverse skin diseases, validation of novel therapeutic targets, and screening of new drugs to treat these diseases are also covered. The book examines the latest imaging technologies for understanding in vivo skin changes, as well as technologies such as high-resolution ultrasound imaging, quantitative Magnetic Resonance Imaging, high-resolution Optical Coherence Tomography, and emerging hybrid-imaging modalities. It concludes with chapters introducing emerging drug delivery technologies and potential future innovative developments. * Presents up-to-date knowledge of the skin biology and pathologies * Introduces advancements in the topic of imaging technology for tracing the drug delivery process, which is rarely systematically reported by other counterparts * Covers the latest development in three inter-related directions of drug delivery, imaging, and skin disease intersect for skin research * Provides an overview of the latest development of diagnostic and therapeutic technologies for skin diseases Imaging Technologies and Transdermal Delivery in Skin Disorders will be of great interest to analytical chemists, materials scientists, pharmaceutical chemists, clinical chemists, biotechnologists, bioengineers, cosmetics industry, and dermatologists.

This is an open access book. The 2nd International Conference on Emerging Trends in Engineering (ICETE 2023) will be held in-person from April 28-30, 2023 at University College of Engineering, Osmania University, Hyderabad, India. Since its inception in 2019, The International Conference on Emerging Trends in Engineering (ICETE) has established to enhance the information exchange of theoretical research and practical advancements at national and international levels in the fields of Bio-Medical, Civil, Computer Science, Electrical, Electronics & Communication Engineering, Mechanical and Mining Engineering. This encourages and promotes professional interaction among students, scholars, researchers, educators, professionals from industries and other groups to share latest findings in their respective fields towards sustainable developments. ICETE 2023 promises to be an exciting and innovative event with keynote and invited talks, oral and poster presentations. We invite you to submit your latest research work to ICETE 2023 and look forward to welcoming you in-person to University College of Engineering, Osmania University, Hyderabad, India. We are closely monitoring the COVID-19 situation. We will be taking all necessary precautions and adhere to the COVID-19 guidelines issued by the Government of Telangana & Osmania University, India.

Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort expended in the interface of medicine and computer science. As some CAD systems in medicine try to emulate the diagnostic decision-making process of medical experts, they can be considered as expert systems in medicine.

This book constitutes the refereed proceedings of seven workshops held at the 18th International Conference on Image Analysis and Processing, ICIAP 2015, in Genoa, Italy, in September 2015: International Workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2015; International Workshop on Color in Texture and Material Recognition, CTMR 2015; International Workshop on Medical Imaging in Rheumatology: Advanced applications for the analysis of in ammation and damage in the rheumatoid Joint, RHEUMA 2015; International Workshop on Image-Based Smart City Application, ISCA 2015; International Workshop on Multimedia Assisted Dietary Management, MADiMa 2015; International Workshop on Scene Background Modeling and initialization, SBMI 2015; and International Workshop on Image and Video Processing for Quality of Multimedia Experience, QoEM 2015.