@article{(Open Science Index):https://publications.waset.org/pdf/10203,
	  title     = {Computer Aided Detection on Mammography},
	  author    = {Giovanni Luca Masala},
	  country	= {},
	  institution	= {},
	  abstract     = {A typical definition of the Computer Aided Diagnosis
(CAD), found in literature, can be: A diagnosis made by a radiologist
using the output of a computerized scheme for automated image
analysis as a diagnostic aid. Often it is possible to find the expression
Computer Aided Detection (CAD or CADe): this definition
emphasizes the intent of CAD to support rather than substitute the
human observer in the analysis of radiographic images. In this article
we will illustrate the application of CAD systems and the aim of
these definitions.
Commercially available CAD systems use computerized
algorithms for identifying suspicious regions of interest. In this paper
are described the general CAD systems as an expert system
constituted of the following components: segmentation / detection,
feature extraction, and classification / decision making.
As example, in this work is shown the realization of a Computer-
Aided Detection system that is able to assist the radiologist in
identifying types of mammary tumor lesions. Furthermore this
prototype of station uses a GRID configuration to work on a large
distributed database of digitized mammographic images.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {2},
	  number    = {3},
	  year      = {2008},
	  pages     = {131 - 136},
	  ee        = {https://publications.waset.org/pdf/10203},
	  url   	= {https://publications.waset.org/vol/15},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 15, 2008},
	}