Statistical validation metric for accuracy assessment in medical image segmentation

Author:

Popovic Aleksandra,de la Fuente Matías,Engelhardt Martin,Radermacher Klaus

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Reference47 articles.

1. Jannin P, Fitzpatrick JM, Hawkes DJ, Pennec X, Shahidi R and Vannier MW (2002). Validation of medical image processing in image guided therapy. IEEE Trans Medical Imaging 21(12): 1445–1449

2. Udupa JK, LeBlanc VR, Schmidt H, Imielinska C, Saha PK, Grevera GJ, Zhuge Y, Molholt P, Jin Y, Currie LM (2002) A methodology for evaluating image segmentation algorithms. In: Proceedings of SPIE: medical imaging, pp. 266–277

3. Udupa JK, LeBlanc VR, Zhuge Y, Imielinska C, Schmidt H, Currie LM, Hirsch BE and Woodburn J (2006). A framework for evaluating image segmentation algorithms. Comput Medical Imaging Graph 30(2): 75–87

4. Warfield SK, Zou KH and Wells WM (2002). Validation of image segmentation and expert quality with an expectation—maximization algorithm. In: Dohi, T and Kikinis, R (eds) Proceedings of MICCAI 2002, the fifth international conference, pp 298–306. Springer, Heidelberg

5. Yitzhaky Y and Peli E (2003). A method for objective edge detection evaluation and detector parameter selection. IEEE Trans Pattern Anal Mach Intell 25(10): 1–7

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