This book is intended primarily for researchers, engineers, and graduate students in the fields of medicine management and software engineering in the field of dermatology.

Aiming at the problems of color deviation, structured noise interference, and uneven distribution of feature points in the identification of melanoma, this book researches four aspects of dermoscopic image such as color correction, hair removal, image registration and classification recognition. Some creative methods are presented as follows, 1 Dermoscopic image color correction, 2 Dermoscopic image hair removal, 3 Dermoscopic image registration. In writing style, a combination of diagrams, tables, formula and text is used in order that the book can be understood easily and raise the readers’ interest, and in content, theoretical analysis and medical application are combined to describe the advanced technologies in every chapter.

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Solves issues of color deviation, noise interference, and uneven distribution feature points in melanoma identification Proposes a dermoscopic color correction model based on gamma correction and multi-scale image fusion An iterative tensor voting and optimized total variation hair removal model based on texture spectrum
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9789819661343
Publisert
2025-06-01
Utgiver
Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
17