4.6 Article

Automated prostate cancer localization without the need for peripheral zone extraction using multiparametric MRI

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields

Yusuf Artan et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)

Article Radiology, Nuclear Medicine & Medical Imaging

Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI

Sedat Ozer et al.

MEDICAL PHYSICS (2010)

Article Computer Science, Interdisciplinary Applications

Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class

Xin Liu et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2009)

Article Radiology, Nuclear Medicine & Medical Imaging

Combined T2-weighted and diffusion-weighted MRI for localization of prostate cancer

Masoom A. Haider et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2007)

Article Computer Science, Interdisciplinary Applications

Targeted prostate biopsy using statistical image analysis

Yiqiang Zhan et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2007)

Article Computer Science, Interdisciplinary Applications

Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI

A Madabhushi et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2005)