Methods In Medical Image Analysis - Spring 2017
- Machine Vision, Wesley E. Snyder & Hairong Qi
- Officially Recommended
- Insight into Images: Principles and Practice for Segmentation, Registration and Image Analysis, Terry S. Yoo (Editor)
- Useful if you want to build your bookshelf
- Variational Methods in Image Processing, Luminita A. Vese, Carole Le Guyader, 2015
- Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volumes One and Two, Ayman S. El-Baz, et. al. (Editors), 2011
- Computer Vision: Algorithms and Applications, Richard Szeliski, 2011 (free pre-press pdf, pages don't match)
- Handbook of Medical Imaging: Processing and Analysis, Isaac Bankman (Editor)
- Computer Vision, Linda Shapiro
- Algorithms for Image Processing and Computer Vision, J. R. Parker
- Machine Vision: Theory, Algorithms, Practicalities, E. R. Davies
- ITK Software Guide; The Insight Segmentation and Registration Toolkit, by Luis Ibanez and Will Schroeder
Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis,
by Terry Yoo.
- C++ How to Program (4th Edition), by Harvey M. Deitel and Paul J. Deitel
- Using the STL; The C++ Standard Template Library (2nd Edition), by Robert Robson.
- Design Patterns; Elements of Reusable Object-Oriented Software, by Erich Gamma, et al.
Yourself C++ in 21 Days (4th edition), by Jesse Liberty
OpenGL Superbible (2nd edition), by Wright and Sweet - not really needed
for this class but may be useful for your project.
Other Local Courses in Biomedical Imaging, Processing, and Analysis
- Biomedical Imaging: Pitt BIOENG 1330/2330
- Introduction to Biophotonics: CMU BME 42-698P
- Introduction to Biomedical Imaging and Image Analysis: CMU BME 42-431 / ECE 18-496
- Computational Methods in Biomedical Engineering: CMU BME 42-663
Local Courses in C++
Brainweb brand synthetic MRI data