Evaluating Feature Selection Strategies for High Dimensional, Small Sample Size Datasets Read more about Evaluating Feature Selection Strategies for High Dimensional, Small Sample Size Datasets
Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI Read more about Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI
Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI Read more about Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI
Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models Read more about Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models
Cascaded Multi-class Pair-wise Classifier (CASCAMPA) for normal, cancerous, and cancer confounder classes in prostate histology Read more about Cascaded Multi-class Pair-wise Classifier (CASCAMPA) for normal, cancerous, and cancer confounder classes in prostate histology
CadOnc©: An Integrated Toolkit for Evaluating Radiation Therapy Related Changes in the Prostate Using Multi-Parametric MRI Read more about CadOnc©: An Integrated Toolkit for Evaluating Radiation Therapy Related Changes in the Prostate Using Multi-Parametric MRI
Boosted Spectral Embedding (BoSE): Applications to Content-Based Image Retrieval of Histopathology Read more about Boosted Spectral Embedding (BoSE): Applications to Content-Based Image Retrieval of Histopathology
An Integrated Texton and Bag of Words Classifier for Identifying Anaplastic Medulloblastomas Read more about An Integrated Texton and Bag of Words Classifier for Identifying Anaplastic Medulloblastomas
Aggregated Distance Metric learning (ADM) for image classification in presence of limited training data Read more about Aggregated Distance Metric learning (ADM) for image classification in presence of limited training data
Adaptive Energy Selective active contour with Shape Priors For Nuclear Segmentation and Gleason grading of prostate cancer Read more about Adaptive Energy Selective active contour with Shape Priors For Nuclear Segmentation and Gleason grading of prostate cancer
