title: Practical Applications of Digital Pathology.
abstract: BACKGROUND
  Virtual microscopy and advances in machine learning have paved the way for the ever-expanding field of digital pathology. Multiple image-based computing environments capable of performing automated quantitative and morphological analyses are the foundation on which digital pathology is built.
  
  
  METHODS
  The applications for digital pathology in the clinical setting are numerous and are explored along with the digital software environments themselves, as well as the different analytical modalities specific to digital pathology. Prospective studies, case-control analyses, meta-analyses, and detailed descriptions of software environments were explored that pertained to digital pathology and its use in the clinical setting.
  
  
  RESULTS
  Many different software environments have advanced platforms capable of improving digital pathology and potentially influencing clinical decisions.
  
  
  CONCLUSIONS
  The potential of digital pathology is vast, particularly with the introduction of numerous software environments available for use. With all the digital pathology tools available as well as those in development, the field will continue to advance, particularly in the era of personalized medicine, providing health care professionals with more precise prognostic information as well as helping them guide treatment decisions.
authors.affiliation: Department of Anatomic Pathology, Moffitt Cancer Center, Tampa, FL 33612, USA. Anthony.Magliocco@Moffitt.org.
authors.forename: Daryoush
authors.initials: D
authors.lastname: Saeed-Vafa
authors.forename: Anthony M
authors.initials: AM
authors.lastname: Magliocco
mesh_terms: D000465:Algorithms; D014408:Biomarkers, Tumor; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D000069550:Machine Learning; D008853:Microscopy / Q000295:instrumentation / Q000379:methods*; D009360:Neoplastic Cells, Circulating / Q000473:pathology; D012984:Software
chemical_list: D014408:Biomarkers, Tumor