Computational Vision and Medical Image Processing: VipIMAGE 2009

Author: João Manuel R.S. Tavares & R.M. Natal Jorge
Publisher: CRC Press, 2009
Pages: 464
ISBN: 978-0415570411:
Aimed at: Medical computing experts
Rating: 4
Pros: Complete papers of a 2009 conference
Cons: Very diverse
Reviewed by: Mike James

A nicdely produced set of conference proceedings with a diverse set of papers.

Author: João Manuel R.S. Tavares & R.M. Natal Jorge
Publisher: CRC Press, 2009
Pages: 464
ISBN: 978-0415570411:
Aimed at: Medical computing experts
Rating: 4
Pros: Complete papers of a 2009 conference
Cons: Very diverse
Reviewed by: Mike James

This is a collection of all of the papers presented at VipIMAGE 2009 and it joins the earlier volumes documenting previous conferences. It's hardback and very nicely produced with each paper in the style of a journal paper. The papers are gathered together into the various sessions and themes presented at the conference.

The collection is extremely diverse ranging from medical modeling to new imagine techniques. The most important thing to point out to anyone considering this collection is to say that the range of topics is heavily biased towards the medical area of application with very few pure computational vision papers with short special sections on robotics and satellite imagery looking as if they had got lost on their way to another conference.

If your topic is medical computing then this is worth adding to the library.


Banner


Python All-in-One, 3rd Ed (For Dummies)

Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2024
Pages: 720
ISBN: 978-1394236152
Print: 1394236158
Kindle: B0CW1C834N
Audience: People wanting to learn Python
Rating: 2
Reviewer: Mike James
All-in-one refers to the fact that this is seven books put together - why?



Classic Computer Science Problems in Python

Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Level: Intermediate
Audience: Python developers
Category: Python
Rating: 4
Reviewer: Mike James
Classic algorithms in Python - the world's favourite language.


More Reviews

 

Last Updated ( Tuesday, 23 March 2010 )