title: A Java application for tissue section image analysis.
abstract: The medical industry has taken advantage of Java and Java technologies over the past few years, in large part due to the language's platform-independence and object-oriented structure. As such, Java provides powerful and effective tools for developing tissue section analysis software. The background and execution of this development are discussed in this publication. Object-oriented structure allows for the creation of "Slide", "Unit", and "Cell" objects to simulate the corresponding real-world objects. Different functions may then be created to perform various tasks on these objects, thus facilitating the development of the software package as a whole. At the current time, substantial parts of the initially planned functionality have been implemented. Getafics 1.0 is fully operational and currently supports a variety of research projects; however, there are certain features of the software that currently introduce unnecessary complexity and inefficiency. In the future, we hope to include features that obviate these problems.
authors.affiliation: Department of Cancer Imaging, BC Cancer Agency, Vancouver, BC, Canada.
authors.forename: R
authors.initials: R
authors.lastname: Kamalov
authors.forename: M
authors.initials: M
authors.lastname: Guillaud
authors.forename: D
authors.initials: D
authors.lastname: Haskins
authors.forename: A
authors.initials: A
authors.lastname: Harrison
authors.forename: R
authors.initials: R
authors.lastname: Kemp
authors.forename: D
authors.initials: D
authors.lastname: Chiu
authors.forename: M
authors.initials: M
authors.lastname: Follen
authors.forename: C
authors.initials: C
authors.lastname: MacAulay
mesh_terms: D003584:Cytological Techniques / Q000295:instrumentation*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008954:Models, Biological; D011381:Programming Languages; D014584:User-Computer Interface