Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer

This publication has 51 references indexed in Scilit:

• Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
  Expert Systems with Applications, 2013
• Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer
  BMC Clinical Pathology, 2013
• Fractal analysis in a systems biology approach to cancer
  Seminars in Cancer Biology, 2011
• Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes
  BMC Medical Informatics and Decision Making, 2010
• Automatic segmentation of newborn brain MRI
  NeuroImage, 2009
• Fractal analysis of two-dimensional vascularity in primary prostate cancer and surrounding non-tumoral parenchyma
  Pathology - Research and Practice, 2009
• Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development
  Pattern Recognition, 2009
• Quantifying the architectural complexity of microscopic images of histology specimens
  Micron, 2009
• Screening and Prostate-Cancer Mortality in a Randomized European Study
  New England Journal of Medicine, 2009
• The use of the area under the ROC curve in the evaluation of machine learning algorithms
  Pattern Recognition, 1997