Automatic Kidney Segmentation Using Gaussian Mixture Model on MRI Sequences

Author:

Goceri Evgin

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Kobashi, L., Shapiro, M.: Knowledge-based Organ Identification from CT Images. Pattern Recognition 28, 475–491 (1995)

2. Lin, D.T., Lei, C.C., Hsiung, S.Y.: An Efficient Method for Kidney Segmentation on Abdominal CT Images. In: 8th Australian and New Zealand Intelligent Information Systems Conference, Sydney, Australia, pp. 75–82 (2003)

3. Lecture Notes in Computer Science;R. Pohle,2001

4. Pohle, R., Toennies, K.D.: Segmentation of Medical Images Using Adaptive Region Growing. In: Proceedings of the Medical Imaging Conference of SPIE, vol. 4322, pp. 1337–1346 (2001)

5. Pohle, R., Toennies, K.D.: Self-learning Model-based Segmentation of Medical Images. Image Processing & Communication 7, 97–113 (2001)

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