ISA5125 醫學影像分析 (Medical Image Analysis)

2011 Spring

Latest Information:

[2011/06/30] The final grades have published on the course webpage.
[2011/06/30] The total score is computed as follows: 30% midterm exam + 40% Homeworks + 20% final project + 3% quiz + 7% attendance.
[2011/06/14] The demo time of final project is in the in the morning of June 27(9:30am~11:59am).
[2011/06/01] The information slides of final project have published on the web.
[2011/05/31] The homework 4 files have updated on the website of the course.
[2011/05/19] The homework 4 has published on the website of the course.
[2011/03/31] The due time of homework 2 delays until Monday(Due: 4/18/2011 (11:59pm)).

Final project
Requirement of the final project
1. Final Report should be less than or equal to 10 pages (including abstract, problem description, system/method, implementation, conclusion/discussion)
2. Demo time is in the in the morning of June 27(9:30am~11:59am).

M. Kass, A. Witkin, and D. Terzopoulos, “Snakes: Active contour models,” Int. J. Comput. Vis., vol. 1, pp. 321–331, 1987.
C. Xu and J. L. Prince, “Snakes, shapes, and gradient vector flow,” IEEE Trans. Imag. Proc., 7(3):359–369, 1998.
D.-Q. Zhang, S.-C. Chen,” Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure”, IEEE Trans. SMC-Part B, 2004, 34(4): 1907-1916.
Zhang, Y., Brady, M., Smith, S.,” Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm”, IEEE Trans. Medical Imaging, 2001, 20(1): 45-57.
T.F. Cootes, C.J. Taylor, D.H. Cooper. J. Graham .,” Active shape models - their training and application”, Computer Vision and Image Understanding, 1995, 61: 38–59.
Grady, L.,” Random Walks for Image Segmentation”, IEEE Trans. Pattern Analysis and Machine Intelligence, 2006, 28(11): 1768-1783.
K. S. Arun, T. S. Huang and S. D. Blostein,” Least square fitting of two 3-d point sets”, IEEE Trans. Pattern Analysis and Machine Intelligence, 1987, 9(5): 689-700.

You have to submit your homework includes report (50%) and program (50%).
The way to hand in your homework (25% penalty for each day late)
1. IP Addrs : 140.114.71.162 (Use student ID to make the directory)
2. Username : ISA5125
3. Password : ISA5125cvlab
4. Please upload your Report, Source Code (and Executable File)
5. Discussion is encouraged, PLAGIARISM IS STRICKLY FORBIDDEN
Requirement of your report
1. Method Description (15%): Summarize algorithms and formulas which you use.
2. Results (20%): Also put results in your reports.
3. Discussion (10%): Please answer questions in homework assignment. (e.g. Compare something, discuss something), and write down what you observe.
4. How to execute your program (5%)
Requirement of program
1. Source code (written in C/C++/Matlab)
2. If your source code is complicated to compile (e.g. it needs many external libraries), please also upload executable file. If you use Matlab to implement your homework, make sure that all matlab files *.m are uploaded. (If you use Mexfunction, please also submit *.dll files or *.mexw32 files.
3. If you would like to use other programming language, please contact TA.