The July 1994 workshop was the follow-up to the first meeting held in San Jose, California in 1993. The main topic addressed was the current state of the art in research into approaches which can offer some assistance to radiologists in detection and recognition of early signs of breast disease. The proceedings are divided into sections on classification and detection of microcalcifications; use of multiple images/wavelets; image acquisition and transmission; classification and detection of masses; image processing and segmentation; image databases; and radiologist performance. No index. Annotation copyright Book News, Inc. Portland, Or.
Owing to space limitations, only a selection of the published papers are
listed hereunder Preface. Classification and detection of
microcalcifications. Dense feature maps for detection of calcification (W.P.
Kegelmeyer, jr., M.C. Allmen). Three-dimensional reconstruction of
microcalcification clusters within excised breast lesions (S.P. Bates et al).
Detection of microcalcifications using wavelets (R.N. Strickland, H.I. Hahn).
Use of multiple images/Wavelets. A framework for contrast enhancement by
dyadic wavelet analysis (A. Laine, J. Fan, S. Schuler). Registering time
sequences of mammograms using two-dimentional image unwarping
technique(M.Sallam, K.W. Bowyer) Mammogram analysis by comparison with
previous screenings (D. Brzakovic et al.). image acquisition and
transmission. Developments in digital mammography with monochromatic and
narrow energy band X-rays (R. Beccherle et al). Comparison of digital X-ray
cameras for stereotactic breast needle biopsy: an observer performance study
(E.A Krupinski, H. Roehrig). Classification and detection of masses.
Recognition of stellate lesions in digital mammograms (N. Karssemeijer). The
detection of abnormalities in mammograms (S.L. Kok, J.M. Brady, L.
Tarassenko). Computer detection of lesions missed by mammography (R.A.
Schmidt et al.). Image processing and segmentation. Enriching digital
mammogram image analysis with a description of the curvilinear structures (N.
Cemeaz, M. Brady). Generating ROC curves for artificial neural networks (K.
S. Woods, K.W. Bowyer). A novel approach to aligning mammograms (E.A.
Stamatakis et al). Image databases. A training and assessment package for
digital mammography (H.J. Sumsion, G.J.S. Parkin, A.R. Cowen). The
application of a computed radiography database to a mammographic reporting
environment (H.J. Sumsion et al) Radiologist performance. Prompting as an aid
to diagnosis in mammography (I.W. Hutt, S.M. Astley, C.R.M. Boggis). To err
human, to compute divine? (C.J. Savage et al). Index of authors.
