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Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation.

, , , , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 280-287. Springer, (2015)

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Optimised Robust Treatment Plans for Prostate Cancer Focal Brachytherapy., , , , , , and . ICCS, volume 51 of Procedia Computer Science, page 914-923. Elsevier, (2015)Cell density in prostate histopathology images as a measure of tumor distribution., , , , , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410S. SPIE, (2014)Prostate cancer focal brachytherapy: Improving treatment plan robustness using a convolved dose rate model., , , , and . ICCS, volume 108 of Procedia Computer Science, page 1522-1531. Elsevier, (2017)Automatic 3D modelling for prostate cancer brachytherapy., , , , and . ICIP, page 4452-4456. IEEE, (2017)Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation., , , , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 280-287. Springer, (2015)Performance assessment of automated tissue characterization for prostate H and E stained histopathology., , , , , and . Medical Imaging: Digital Pathology, volume 9420 of SPIE Proceedings, page 94200M. SPIE, (2015)Understanding the Relationship Between Interactive Optimisation and Visual Analytics in the Context of Prostate Brachytherapy., , , , and . IEEE Trans. Vis. Comput. Graph., 24 (1): 319-329 (2018)