Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Author:

Litjens Geert,Toth Robert,van de Ven Wendy,Hoeks Caroline,Kerkstra Sjoerd,van Ginneken Bram,Vincent Graham,Guillard Gwenael,Birbeck Neil,Zhang Jindang,Strand Robin,Malmberg Filip,Ou Yangming,Davatzikos Christos,Kirschner Matthias,Jung Florian,Yuan Jing,Qiu Wu,Gao Qinquan,Edwards Philip “Eddie”,Maan Bianca,van der Heijden Ferdinand,Ghose Soumya,Mitra Jhimli,Dowling Jason,Barratt Dean,Huisman Henkjan,Madabhushi Anant

Funder

Dutch Cancer Society

National Cancer Institute of the National Institutes of Health

National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference57 articles.

1. ESUR prostate MR guidelines 2012;Barentsz;Eur. Radiol.,2012

2. Review of MR image segmentation techniques using pattern recognition;Bezdek;Med. Phys.,1993

3. Birkbeck, N., Zhang, J., Requardt, M., Kiefer, B., Gall, P., Kevin Zhou, S., 2012. Region-specific hierarchical segmentation of MR prostate using discriminative learning. MICCAI Grand Challenge: Prostate MR Image Segmentation 2012.

4. Patient specific prostate segmentation in 3-D magnetic resonance images;Chandra;IEEE Trans. Med. Imaging,2012

5. MRI: stability of three supervised segmentation techniques;Clarke;Magn. Reson. Imaging,1993

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