title: A knowledge acquisition tool in analytical pathology based on multi-media relational database.
abstract: The need for a knowledge based expert system for efficient decision making in the field of pathology has been well accepted. To build the knowledge-base for such an expert system is a painstaking task. This work is an attempt to provide the pathologists a powerful and user-friendly tool that will help them in the process of building the knowledge-base for medical diagnosis by closely looking at the specimen images and their extracted feature values. The tool is based on multi-media relational database and software like VAX Rally (4GL), ILIAD and SAS to provide a wide-range comparative study between feature data and image data; and also their statistical analysis.
authors.affiliation: Computer and Statistical Service Centre, Indian Statistical Institute, Calcutta.
authors.forename: A
authors.initials: A
authors.lastname: Datta
authors.forename: K
authors.initials: K
authors.lastname: Rodenacker
mesh_terms: D001185:Artificial Intelligence; D003110:Colonic Neoplasms / Q000473:pathology; D003626:Data Display; D016208:Databases, Factual; D003658:Decision Making, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008432:Mathematical Computing; D008853:Microscopy / Q000295:instrumentation; D010336:Pathology; D015203:Reproducibility of Results; D014584:User-Computer Interface