Artificial Neural Networks and Machine Learning -- ICANN 2014


Book Description

The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.




Dermoscopy in General Dermatology


Book Description

This lavishly illustrated guide from experts will enable practitioners to get the most out of dermoscopy for investigations and treatments in general dermatology.




Development of Algorithms for Dermoscopy Image Analysis


Book Description

As a result of the advances in skin imaging technology and the development of suitable image processing techniques, during the last decade, there has been a significant increase of interest in the computer-aided diagnosis of skin cancer. Dermoscopy is a relatively recent, non-invasive skin imaging technique which permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the naked eye. This reduces screening errors, and provides greater differentiation between difficult lesions such as pigmented Spitz nevi and small, clinically equivocal lesions. However, it has been demonstrated that dermoscopy may actually lower the diagnostic accuracy in the hands of inexperienced dermatologists. Therefore, due to the lack of reproducibility and subjectivity of human interpretation, the development of computerized techniques is of utmost importance. In this thesis, several algorithms for the analysis of dermoscopy images have been developed. These include automatic border detection, low-level (shape, color, and texture) feature extraction, classification, and high-level (dermoscopic) feature extraction. Experimental results on a large and heterogeneous set of images demonstrate that the developed algorithms allow for fast and accurate classification of dermoscopy images.




Non-Invasive Technologies for the Diagnosis and Management of Skin Cancer, E-Book


Book Description

This issue of Dermatologic Clinics, guest edited by Drs. Darrell S. Rigel and Aaron S. Farberg, is devoted to Non-Invasive Technologies for the Diagnosis of Skin Cancer. Articles in this issue include: Current state and issues of clinical inspection; Tele-dermatology applications in skin cancer diagnosis; Enhancing skin cancer diagnosis with dermoscopy; Mole Mapping for management of pigmented skin lesions; Temporal image comparison (Serial Imaging) in assessing pigmented lesions; Multispectral digital skin lesion imaging and analysis; Using reflectance confocal microscopy in skin cancer diagnosis; Optical Coherence Tomography in the diagnosis of skin cancer; Electrical impedance spectroscopy in skin cancer diagnosis; The use of Raman Spectroscopy to detect and diagnose skin cancer; Applying high frequency ultrasound in the diagnosis of skin cancer; Proteomic mass spectrometery imaging for skin cancer diagnosis; Assessing skin cancer using epidermal genetic information retrieved by tape stripping; Smartphone-based applications for skin monitoring and melanoma detection; Detection of aberrations in cellular DNA in diagnosis and assessment of skin cancer; Assessing genetic expression profiles in melanoma diagnosis; Assessing genetic expression profiles in melanoma prognosis; and Integrating skin cancer related technologies into clinical practice.




Dermoscopy Image Analysis


Book Description

Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifyin




Prime Areas for Improvement in Skin Cancer Detection and how Technology Can Help


Book Description

About 5 million cases of skin cancer will be diagnosed in the United States in 2015, making skin cancer the most common cancer diagnosis in the United States. About 13,000 Americans will die from skin cancer in 2015. Often skin cancers are diagnosed at later stages, are expensive to treat, and result in fatalities. For melanoma, responsible for 75% of skin cancer deaths, the overall 5-year survival rate is 98% for skin lesions detected in their early stages, and this survival rate drops to 16% after the disease has spread to other organs. If these fatal skin cancers were detected earlier they would cost less to treat and result in better patient outcomes. There is no single resource available that maps the full state of the skin cancer care delivery, and most current views are colored by a stakeholder's perspective. We connected with stakeholders at different levels of the skin cancer care delivery system to create an overall picture of the system's current state and to identify gaps in care. We interviewed 9 skin cancer patients, 8 primary care physicians, and 9 dermatologists. Through this research, we discovered that the structure of how skin cancer care is delivered promotes opportunities to miss skin cancers and includes many barriers between initial cancer suspicion and disease diagnosis. Frequently patients do not evaluate themselves for skin cancer, primary care physicians have low accuracy in identifying skin cancers, and dermatologists manage a very small portion of the population who develop skin cancers. At a higher level, feedback between patients and physicians is frequently lost in the system, physicians are not accountable for patient outcomes, and patient health is not supported by the system until the patient identifies a health issue and acts to remedy the issue. To close these system gaps, we identified technologies, including micro-biopsies and electrical impedance spectrometry, which could be used to improve rates of skin cancer identification and promote better patient health outcomes. Additionally, we recommend physicians find a way to collaborate on cases, identify their own weaknesses in assessment, and capture patient outcomes to relay incorrect assessments to other physicians to improve future patient care.




Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)


Book Description

This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.




Skin Cancer: Pathogenesis and Diagnosis


Book Description

This book highlights the molecular and cellular mechanisms involved in the initiation and progression of skin cancer. It also explains the role of the environment in skin cancer development and explores the potential of microbiome in the diagnosis, prevention and treatment of skin cancer. The book also presents potential biomarkers for early detection of skin cancer and discusses recent advances in skin cancer prevention and treatment using photodynamic therapy. Lastly, it summarizes the applications of biomedical engineering, non-coding and nanotechnology in the diagnosis and therapeutics in skin cancer. It is a valuable resource for investigators in the field of skin cancer, including pathologists, medical and surgical oncologists, and dermatologists.




Sunlight, Vitamin D and Skin Cancer


Book Description

The third edition is a comprehensive and updated overview of positive and negative effects of UV-exposure, with a focus on Vitamin D and skin cancer. Researchers, oncologists,and students will be provided with the most significant and timely information related to topics such as the epidemiology of skin cancer, the immune system and skin cancer, ultraviolet damage, DNA repair and Vitamin D in Nonmelanoma skin cancer and malignant melanoma. There have been a number of new, scientific findings in this fast moving field that necessitated a thoroughly updated and revised edition including new Vitamin D metabolites and skin cancer, new findings on the beneficial effects of UV and solar UV and skin cancer, adverse effects of sun protection and sunscreens, sun exposure and mortality, and more. The book will summarize essential, up-to-date information for every clinician or scientist interested in how to balance the positive and negative effects of UV‐exposure to minimize the risks of developing vitamin D deficiency and skin cancer.