Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

This book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major ways deep learners can be utilized: 1) by training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) by implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) by fine-tuning one or more pre-trained deep learners on an unrelated dataset so that they are able to identify novel medical datasets; 4) by fusing different deep learner architectures; and 5) by combining the above methods to generate a variety of more elaborate ensembles. This book is a value resource for anyone involved in engineering deep learners for medical applications as well as to those interested in learning more about the current techniques in this exciting field. A number of chapters provide source code that can be used to investigate topics further or to kick-start new projects.

Nuclear Medicine has greatly contributed to the diagnosis and treament of neuroendocrine neoplasms. This issue of PET Clinics will focus not only on the diagnosis and treatment of neuroendocrine tumors, but also theranostics. Topics include SPECT and other PET tracers, F-DOPA, Ga-DOTA-peptides, Yttrium- and Lutetium-based therapy, and the role of FDG PET. It also covers key information of theranostics.

This book introduces Local Binary Patterns (LBP), arguably one of the most powerful texture descriptors, and LBP variants. This volume provides the latest reviews of the literature and a presentation of some of the best LBP variants by researchers at the forefront of textual analysis research and research on LBP descriptors and variants. The value of LBP variants is illustrated with reported experiments using many databases representing a diversity of computer vision applications in medicine, biometrics, and other areas. There is also a chapter that provides an excellent theoretical foundation for texture analysis and LBP in particular. A special section focuses on LBP and LBP variants in the area of face recognition, including thermal face recognition. This book will be of value to anyone already in the field as well as to those interested in learning more about this powerful family of texture descriptors.

Blizzards, droughts, predators, unpredictable markets, and a host of other calamities tell the history of the daily struggles of Western ranching, and perhaps no one has told the story better than Nannie T. Alderson, a transplanted southern woman who married a cowboy and found herself in eastern Montana trying to build a ranching business a one-hundred-mile horse-and-buggy ride from the nearest town. Unfamiliar with even the most basic household chores, she soon found herself washing, cooking, riding, cleaning, branding, and a host of other ranch activities for which her upbringing had not prepared her. Although Nannie Alderson and her husband, Walt, would eventually move to Miles City, her story of the rigors of ranch life serves as the preeminent account of Montana ranch life and culture. This edition features a foreword from Nannie's great-grandniece, Jeanie Alderson, who ranches in the same area.