|  Pham D L, Xu C, Prince J L. A survey of current methods in medical image segmentation. Annual Review of Biomedical Engineering, 2000, 2: 315-337. Jain A K. Fundamentals of Digital Image Processing. Printice Hall, 1989. Chen P, Pavlidis T. Image segmentation as an estimation problem. Computer Graphics and Image Processing, 1980, 12(20): 153-172. Liu J. Synergistic hybrid image segmentation: Combining model and image-based Sstartegies [Ph.D. Dissertation]. Univ. Pennsylvania, 2006. Kaelbling L P, Littman M L, Moore A W. Reinforcement learning: A survey. Artificial Intelligence Research, 1996, 4: 237-285. Chitsaz M, Woo C S. Medical image segmentation by using reinforcement learning agent. In Proc. International Conference on Digital Image Processing (ICDIP 2009), Bangkok, Thailand, Mar. 7-10, 2009, pp.216-219. Watkins C J C H. Learning from delayed rewards [Ph.D. Dissertation]. Cambridge, 1989. Watkins C, Dayan P. Q-learning. Machine Learning, 1992, 8(3): 279-292. Chitsaz M, Woo C S. The rise of multi-agent and R.L. segmentation methods for biomedical images. In Proc. The 4th Malaysian Software Engineering Conference (MySEC2008), Kuala Terengganu, Malaysia, 2008, p.5. Bhanu B, Peng J. Adaptive integrated image segmentation and object recognition. IEEE Transaction on Systems, Man, and Cybernetics, 2000, 30(4): 427-441. Peng J, Bhanu B. Delayed reinforcement learning for adaptive image segmentation and feature extraction. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 1998, 28(3): 482-488. Peng J, Bhanu B. Closed-loop object recognition using reinforcement learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(2): 139-154. Shokri M, Tizhoosh H R. Using reinforcement learning for image thresholding. In Proc. IEEE Canadian Conference on Electrical and Computer Engineering, May 4-7, 2003, pp.1231-1234. Shokri M, Tizhoosh H R. A reinforcement agent for threshold fusion. Applied Soft Computing, 2008, 8(1): 174-181. Sahba F, Tizhoosh H R, Salama M M A. A reinforcement learning framework for medical image segmentation. In Proc. International Joint Conference on Neural Networks, Vancouver, Canada, Jul. 16-21, 2006, pp.511-517. Sahba F, Tizhoosh H R, Salama M M A. A reinforcement agent for object segmentation in ultrasound images. Expert Systems with Applications, 2008, 35(3): 772-780. Obaidellah U H B. A finite element approach for the planning and simulation of 3D mandibular osteotomy for orthoganathic surgery [Master Thesis]. Faculty of Computer Science and Information Technology, University of Malya, 2006. DICOMsample: DICOM Files. July 2008, http://pubimage.hcuge.ch:8080/. Zhang Y J. A review of recent evaluation methods for image segmentation. In Proc. The Sixth International Symposium on Signal Processing and Its Applications, Kuala Lumpur, Malaysia, Aug. 13-16, 2001, pp.148-151. Te-shen Liang, Rodriguez J J. MR cranial image segmentation — A morphological and clustering approach. In Proc. IEEE Southwest Symp. Image Analysis and Interpretation, San Antonio, USA, Apr. 8-19, 1996, pp.184-189. Pan Z, Lu J. A Bayes-based region-growing algorithm for medical image segmentation. Computing in Science & Engineering, 2007, 9(4): 32-38. Lu H, Bao S. An extended image force model of snakes for medical image segmentation and smoothing. In Proc. The 8th International Conference on Signal Processing, Beijing, China, Nov. 16-20, 2006.