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Dermatology: Visual Recognition and Case Reviews: Visual Recognition and Case Reviews

Dermatology: Visual Recognition and Case Reviews: Visual Recognition and Case Reviews

          
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About the Book

Designed for dermatologists, dermatopathologists, and trainees of all levels, Dermatology: Visual Recognition and Case Reviews is a brand-new resource that aims to maximize your skill at recognizing diseases by visual presentation. Its unique dedication to rich images enhances your learning experience, ability to understand and visualize key concepts, and retention of information, while case reviews offer examples of the framework that can be used when approaching a patient.

  • Concise text allows the focus to be placed on images, maximizing your ability to recognize diseases by visual presentation to better prepare you for day-to-day clinic, certification and maintenance exams.
  • Arranged by patterns of skin disease (e.g. diffuse vs. localized, patterned), with clues (e.g. islands of sparing, nail changes) to different diagnoses and emphasis on the correlation between clinical and microscopic findings.
  • Key difference pages for each section/subsection enable you to quickly compare and contrast different diseases that can look similar but are distinguishable.
  • Case reviews hone in on specifics when evaluating a patient.
  • Boasts high-quality clinical and pathological images for nearly all entities, plus useful body schematic shows likely distribution areas.
  • Features differential diagnosis of particular presentations.
  • Expert Consult eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, images, and references from the book on a variety of devices.

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Product Details
  • ISBN-13: 9780323375313
  • Publisher: Elsevier
  • Publisher Imprint: Elsevier
  • Height: 274 mm
  • No of Pages: 280
  • Spine Width: 13 mm
  • Weight: 815 gr
  • ISBN-10: 0323375316
  • Publisher Date: 28 Nov 2016
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Visual Recognition and Case Reviews
  • Width: 216 mm


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