Order Total (1 Item Items):
Shipping Destination:
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (1)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (1)
- As New, Fine or Near Fine (No further results match this refinement)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (1)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (1)
- Not Print on Demand (No further results match this refinement)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 35 (No further results match this refinement)
- Over £ 35
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Interpretable and Annotation-Efficient Learning for Medical Image Computing
Book 206 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030611655 ISBN 13: 9783030611651
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and.
