Author of the publication

Computer-aided diagnosis method for MRI-guided prostate biopsy within the peripheral zone using grey level histograms.

, , and . ICMV, volume 9445 of SPIE Proceedings, page 94451J. SPIE, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Classifying Benign and Malignant Tissues within the Prostate Peripheral Zone using Textons., , , and . MIUA, page 138-143. BMVA, (2015)A Block-based Approach for Malignancy Detection within the Prostate Peripheral Zone in T2-weighted MRI., , and . BIOIMAGING, page 56-63. SciTePress, (2015)A Quantitative Study of Texture Features across Different Window Sizes in Prostate T2-weighted MRI., , , and . MIUA, volume 90 of Procedia Computer Science, page 74-79. Elsevier, (2016)Computer Aided Detection of Prostate Cancer within the Peripheral Zone in T2-Weighted MRI., , , and . MIUA, page 207-212. BMVA, (2015)Computer-aided diagnosis method for MRI-guided prostate biopsy within the peripheral zone using grey level histograms., , and . ICMV, volume 9445 of SPIE Proceedings, page 94451J. SPIE, (2014)Detection of Prostate Abnormality within the Peripheral Zone using Local Peak Information., , and . ICPRAM, page 510-519. SciTePress, (2014)Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation., , , and . MIUA, volume 1065 of Communications in Computer and Information Science, page 15-25. Springer, (2019)Groupwise Non-rigid Image Alignment With Graph-based Initialisation., , , , and . CGVC, page 15-21. Eurographics Association, (2018)A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers., , , , and . MIUA, volume 894 of Communications in Computer and Information Science, page 74-83. Springer, (2018)Observation noise-gain detection for Markov chains observed through scaled Brownian motion., and . CDC, page 3227-3232. IEEE, (2008)