Interplay between intensity standardization and inhomogeneity correction in MR image processing. Read more about Interplay between intensity standardization and inhomogeneity correction in MR image processing.
Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. Read more about Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
Distinguishing lesions from posterior acoustic shadowing in breast ultrasound via non-linear dimensionality reduction. Read more about Distinguishing lesions from posterior acoustic shadowing in breast ultrasound via non-linear dimensionality reduction.
Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach. Read more about Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach.
A boosting cascade for automated detection of prostate cancer from digitized histology. Read more about A boosting cascade for automated detection of prostate cancer from digitized histology.
New methods of MR image intensity standardization via generalized scale. Read more about New methods of MR image intensity standardization via generalized scale.
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.
