Open AccessImage processing, diagnostic information extraction and quantitative assessment in pathology
Author(s) -
Santinelli Alfredo,
Mazzucchelli Roberta,
Colanzi Paola,
Tinca Antonela,
Montironi Rodolfo
Publication year - 2002
Publication title -
journal of cellular and molecular medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.44
H-Index - 130
eISSN - 1582-4934
pISSN - 1582-1838
DOI - 10.1111/j.1582-4934.2002.tb00314.x
Subject(s) - computer science , pathology , image processing , information extraction , artificial intelligence , digital pathology , medicine , information retrieval , pattern recognition (psychology) , computational biology , image (mathematics) , biology
Abstract As we enter the information age we hold strong beliefs in the benefits of digital technology applied to pathology: numerical representation offers objectivity . Digital knowledge may indeed lead to significant information discovery, and, processing systems might be designed to allow a true evolution of capabilities. Questions arise whether the methodology underlying quantitative analysis provides the information that we need and whether it is appropriate for some of the problems encountered in diagnostic and prognostic histopathology. While one certainly would not dispute the value of statistical procedures, the clinical needs call for individual patient targeted prognosis.