Radiology

Digital Pathology (SpringerBriefs in Computer Science)

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ISBN-13 9783319087801
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Editorial Summary

This title belongs near pathology. Readers are likely looking for specific coverage rather than a broad overview, so the strongest appeal is the match between topic, level, and use case.

Where It Helps

For imaging and diagnostic readers, the useful test is whether the book helps connect findings, terminology, and clinical context without slowing the reader down.

What the Book Emphasizes

  • Pathology material supports diagnostic reasoning and disease classification.

Who It Suits

Best fit: radiology trainees, imaging clinicians, sonographers, and diagnostic readers. It may also work for institutional collections where medical books are bought for repeated consultation rather than one-time reading.

Depth and Format

The tone is best approached as professional reference material. It should reward readers who need precise terminology and a clear route back to the subject later.

Book Details

Author Yves Sucaet, Wim Waelput
Publisher Springer
Publication Date July 22, 2014
Language English
Print Length 182 pages
ISBN-13 978-3319087801
Format Paperback