Comparing MR image intensity standardization against tissue characterizability of magnetization transfer ratio imaging. Read more about Comparing MR image intensity standardization against tissue characterizability of magnetization transfer ratio imaging.
A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS). Read more about A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).
Multi-attribute non-initializing texture reconstruction based active shape model (MANTRA). Read more about Multi-attribute non-initializing texture reconstruction based active shape model (MANTRA).
Consensus-locally linear embedding (C-LLE): application to prostate cancer detection on magnetic resonance spectroscopy. Read more about Consensus-locally linear embedding (C-LLE): application to prostate cancer detection on magnetic resonance spectroscopy.
A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI. Read more about A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI.
Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data. Read more about Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data.
Histopathological image analysis: a review. Read more about Histopathological image analysis: a review.
Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays. Read more about Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays.
Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol <i>In Vivo</i> 3 Tesla MRI. Read more about Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol In Vivo 3 Tesla MRI.
