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Starting out as an indie author can be daunting, especially if you don't have much money to invest in marketing. If you've published one or more books but are struggling to get sales, this is the book for you! In From Zero to Four Figures, USA TODAY Bestselling Author Paul Austin Ardoin shows you the strategy that helped him build an audience and grow his self-published fiction business to $1,000 a month within two years. Increasing your sales requires the right books, mindset, and marketing—many new authors lack one or more of these pillars. This book helps identify the gaps and mistakes that are holding you back. These guidelines are repeatable, proven, inexpensive, and attainable—and will help get your self-published fiction business off the ground. ------------- "Finally! A book that approaches an often overwhelming task with a genuinely realistic and yet hopeful approach to writer success. This is a book I'll be highly recommending not just to new authors, but also ones with some experience under their belts because it's authentic, comprehensive, and approachable. Highly recommended!" —Mark Leslie Lefebvre, author of Wide for the Win
Ideal for classroom use and self-study, this book explains the implementation of the most effective modern methods in image analysis, covering segmentation, registration and visualisation, and focusing on the key theories, algorithms and applications that have emerged from recent progress in computer vision, imaging and computational biomedical science. Structured around five core building blocks - signals, systems, image formation and modality; stochastic models; computational geometry; level set methods; and tools and CAD models - it provides a solid overview of the field. Mathematical and statistical topics are presented in a straightforward manner, enabling the reader to gain a deep understanding of the subject without becoming entangled in mathematical complexities. Theory is connected to practical examples in x-ray, ultrasound, nuclear medicine, MRI and CT imaging, removing the abstract nature of the models and assisting reader understanding.