Evolving Fuzzy Rules for Breast Cancer Diagnosis - Peña-Reyes, Sipper (1998)(Correct)(2 citations) breast, either directly by self-examination, by mammography, or by both [8]2 Fine needle aspiration is
term for the v 2 comparison. This refinement is sufficient in order to give rise to a marked increase in
Switzerland Evolving Fuzzy Rules for BreastCancer Diagnosis Carlos Andr'es Pe~na-Reyes y lslwww.epfl.ch/~penha/docs/nolta98.ps
Texture-Based Image Retrieval for Computerized.. - Corboy, Tsang, Raicu..(Correct)
Wei et al. 13] proposed a CBIR system for the mammography imaging modality using the co-occurrence
Retrieval for Computerized Tomography Databases Andrew Corboy, Winnie Tsang, Daniela Raicu, Jacob facweb.cs.depaul.edu/research/vc/publications/Image_Retrieval_Extended_AbstractDR_v2.pdf
On the Evaluation of Microcalcification Detection.. - Hume, Thanisch.. (1996)(Correct)
of the Third International Workshop on Digital Mammography, Chicago. On the Evaluation of
232 films consisting of one oblique view of each breast from the 116 women that were screened on that day
of ultimately helping the radiologists detect more cancers. This is because, given a representative www.dcs.ed.ac.uk/~pt/pubs/copies/mcalc96.ps
Design and Simulation of Continuous Scintillator - With Pixellated Photodetector(Correct)
medicine instrumentation, particularly in mammography [1] and positron emission tomography (PET)
resolution CsI(Tl)Si-PIN detector development for breast imaging,IEEE Trans. Nucl. Sci.vol. 45, pp.
Ieee Transactions On Nuclear Science, Vol. 48, No. 4, August 2001 Design And Simulation Of Continuous www.uow.edu.au/eng/phys/rpg/pixel_scint.pdf
Synchronization of Telemedicine Applications.. - Raffaele Noro..(Correct)
for nuclear medicine, 4096 2 for digital mammography)color depth (12-bit gray levels for magnetic
which is transmitted and browsed on the local screen. If further information is required or a new
sscwww.epfl.ch Synchronization of Telemedicine Applications: Specification and Implementation sscwww.epfl.ch/Pages/publications/ps_files/tr97_019.ps
Implementation of Exemplar-Based Learning Model for.. - Fujinaga, Moore.. (1998)(Correct)(1 citation)
(Punch et al. 1993)music (Fujinaga 1995)mammography (Sahiner et al. 1996)and agriculture Application to classification of mass and normal breast tissue. Medical Physics 23 (10)1671-84.
1 E. Mt. Vernon Place Baltimore, Maryland 21202 U. S. A. ich |stephan |sullivan}peabody.jhu.edu www.peabody.jhu.edu/~ich/research/icmpc98/icmpc98.exemplar.pdf
Statistical Modelling of Oriented Line Patterns in.. - Parr, Taylor, Astley.. (1997)(Correct)
1 Mass screening of women using x-ray mammography is currently the most effective method of
b North West Regional Training Centre for BreastScreeningABSTRACT Malignant breast lesions in
positives per image. 1. INTRODUCTION Breastcancer is a leading cause of fatality in women, with www.wiau.man.ac.uk/WIAU_PAPERS_DIR/tcp_SPIE.ps.gz
Enhanced Detectability of Small Objects in Correlated.. - Ffrench, Zeidler, Ku (1997)(Correct)(4 citations)
objects in clouds and microcalcifications in mammography data are examined, and the results are
the same lattice structure and shown this to be sufficient for stationary images only. Other lattice
Processing of Mammogram Images The detection of breastcancer through mammography is often a difficult zeidler.ucsd.edu/pubs/J33.pdf
MAMMALYZER: An Approach for Automatic Detection of Breast.. - Huwer, von Wangenheim (1996)(Correct) and Nuclear Medicine, Kaiserslautern 2 mr-MAMMographyanALYZER and then in 1 min. time steps. A
MAMMALYZER: An Approach for Automatic Detection of BreastCancer by Analyzing Contrast-Enhanced MRI An Approach for Automatic Detection of BreastCancer by Analyzing Contrast-Enhanced MRI Mammographs www.forwiss.uni-erlangen.de/~huwer/Publications/Mammalyzer/stanford-paper.ps.gz
Medical Text Representations for Inductive Learning - Adam Wilcox Ph (2000)(Correct) and relevance feedback to classify mammography reports for the presence and absence of
found that coded information alone was not sufficient for classifying admissions, and that
reports for the presence and absence of cancer. Three studies represented documents based on www.cpmc.columbia.edu/homepages/wilcoxa/docs/papers/AMIA2000-D599.pdf
Mammalyzer II - A Decision Support System for.. - Krechel, Hess..(Correct)
data and is now being refined. Keywords: MR-Mammography, Configuration, Motion Artifacts 1 A Decision Support System for early Detection of BreastCancer in Contrast-Enhanced MRI Dirk Krechel,
Support System for early Detection of BreastCancer in Contrast-Enhanced MRI Dirk Krechel, Felix sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-12/./059.ps
Content-Based Image Retrieval in Medical Applications - Tm Lehmann Department (2000)(Correct)(10 citations)
has certain restrictions on both the images (mammography only) and the features (tumor shapes only)
based the same implemented mechanism, this is sufficient to validate the overall system concept. The
from six body regions (abdomen, limbs, chest, breast, skull, and spine) acquired with various libra.imib.rwth-aachen.de/irma/ps-pdf/MIM15.pdf
Similarity and Prototype-Based Approach for.. - Rifqi, Bothorel.. (1997)(Correct)
have abreastcancer during her life. Nowadays, mammography is the primary diagnostic procedure for the
United States and one woman in 10 in Europe have abreastcancer during her life. Nowadays, mammography is
States and one woman in 10 in Europe have abreastcancer during her life. Nowadays, mammography is the webia.lip6.fr/%7Erifqi/ijgs.ps
Comparing Mammogram Pairs For The Detection Of Lesions - Siew-Li Kok-Wiles(Correct)
The Guissin-Brady metric is not suitable for mammography, not least because the magnitude of the
independently in two mammograms of the same breast, nominally the same view at two different times.
visits. In the current image (b) an interval cancer has developed (near the bottom right of the www.robots.ox.ac.uk:5000/ftp/outgoing/rph/Publications/d4slk.ps.Z
Fast Parallel Algorithms for a Broad Class of.. - Weickert, Heers.. (1999)(Correct)(1 citation)
200 Figure 2: Top: Variational restoration of amammography. Bottom: The images from above as 3D-plots.
stops the iterations when u k and u k1 are sufficiently close, or when the residue obtained from
Computer Vision, Graphics, and Pattern Recognition Group Department of www.ti.uni-mannheim.de/~bmg/Publications/TR_5_99.ps.gz