The goal of this study was to develop a fully automated computer application for detection and classification of clustered mc using artificial neural nets (ANN's). Cases where additional investigations are necessary should be identified automatically, too.
%0 Conference Paper
%1 sorantin1998
%A Sorantin, E.
%A Schmidt, F.
%A Mayer, H.
%A Winkler, P.
%A Szepesvári, Cs.
%A Graif, E.
%A Schuetz, E.
%B 4th International Workshop on Digital Mammography
%D 1998
%K application, clinical decision health image informatics, networks, neural processing, support
%T Automated Detection and Classification of Microcalcifications in Mammograms using Artificial Neural Nets
%U http://www.azn.nl/rrng/xray/digmam/iwdm98
%X The goal of this study was to develop a fully automated computer application for detection and classification of clustered mc using artificial neural nets (ANN's). Cases where additional investigations are necessary should be identified automatically, too.
@inproceedings{sorantin1998,
abstract = {The goal of this study was to develop a fully automated computer application for detection and classification of clustered mc using artificial neural nets (ANN's). Cases where additional investigations are necessary should be identified automatically, too.},
added-at = {2020-03-17T03:03:01.000+0100},
author = {Sorantin, E. and Schmidt, F. and Mayer, H. and Winkler, P. and Szepesv{\'a}ri, {Cs}. and Graif, E. and Schuetz, E.},
bdsk-url-1 = {http://www.azn.nl/rrng/xray/digmam/iwdm98},
biburl = {https://www.bibsonomy.org/bibtex/2b26019bb7f910cd2c7cf4b6fa2e16f33/csaba},
booktitle = {4th International Workshop on Digital Mammography},
date-added = {2010-08-28 17:38:14 -0600},
date-modified = {2010-09-02 13:09:22 -0600},
interhash = {a7194bf837441d72179bf564ab70e38f},
intrahash = {b26019bb7f910cd2c7cf4b6fa2e16f33},
keywords = {application, clinical decision health image informatics, networks, neural processing, support},
timestamp = {2020-03-17T03:03:01.000+0100},
title = {Automated Detection and Classification of Microcalcifications in Mammograms using Artificial Neural Nets},
url = {http://www.azn.nl/rrng/xray/digmam/iwdm98},
year = 1998
}