A web-accessible mammographic image database dedicated to combined training and evaluation ofradiologists and machines

Antoniou, ZC; Giannakopoulou, GP; Andreadis, II; Nikita, KS; Ligomenides, PA; Spyrou, GM

dc.contributor.author	Antoniou, ZC	en
dc.contributor.author	Giannakopoulou, GP	en
dc.contributor.author	Andreadis, II	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Ligomenides, PA	en
dc.contributor.author	Spyrou, GM	en
dc.date.accessioned	2014-03-01T02:45:56Z
dc.date.available	2014-03-01T02:45:56Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32468
dc.subject	Computer-aided diagnosis	en
dc.subject	Machine evaluation	en
dc.subject	Mammography	en
dc.subject	Radiologist evaluation	en
dc.subject.other	Education evaluation	en
dc.subject.other	Human needs	en
dc.subject.other	Learning database	en
dc.subject.other	Mammographic images	en
dc.subject.other	Real time	en
dc.subject.other	Software evaluation	en
dc.subject.other	Computer software selection and evaluation	en
dc.subject.other	Content based retrieval	en
dc.subject.other	Database systems	en
dc.subject.other	Information technology	en
dc.subject.other	Mammography	en
dc.subject.other	X ray screens	en
dc.subject.other	Computer aided diagnosis	en
dc.title	A web-accessible mammographic image database dedicated to combined training and evaluation ofradiologists and machines	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITAB.2009.5394465	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITAB.2009.5394465	en
heal.identifier.secondary	5394465	en
heal.publicationDate	2009	en
heal.abstract	We designed and implemented a web-accessible database entitled MIRaCLe DB (Mammography Image reading for Radiologists' and Computers' Learning Database) that composes a dynamic repository for machines and radiologists training and evaluation. Up to now, 204 mammograms have been collected from 196 patients; they have been classified according to the type of the lesions, the type of the biopsy finding, the type of the mammography finding and the available CADs performance. A user can access the database in two modes: (a) for classification software evaluation and (b) for radiologists' education evaluation. In the mode for classification software evaluation, the user has the ability to query the database and retrieve cases with certain characteristics and certain difficulty. Also, there is the possibility to download the existing cases in order to facilitate the evaluation of a new classifier. In the other mode, the user (radiologist) can be trained in real time through a sequence of presentations and furthermore can be evaluated through different evaluating scenarios. At the duration of evaluation, the user can examine the mammography images through a web-based digital magnifier and process the corresponding image in real time. MIRaCLe DB is the first database that combines the machine and human needs for training and evaluation in mammographic image reading. ©2009 IEEE.	en
heal.journalName	Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009	en
dc.identifier.doi	10.1109/ITAB.2009.5394465	en