A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model - researchr publication related

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Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos. A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. In Gabor Fichtinger, Anne L. Martel, Terry M. Peters, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III. Volume 6893 of Lecture Notes in Computer Science, pages 546-553, Springer, 2011. [doi]

The following publications are possibly variants of this publication:

A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence RiskAhmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Mark A. Rosen, Despina Kontos. tmi, 32(4):637-648, 2013. [doi]

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