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LEADER: 02513nam 2200253Ka 4500
008 000000s2003 nyu s 000 0 eng d
040 $aTEFOD$cTEFOD
006 m d
007 cr cn---------
020 $a0824745914 (electronic bk. : Adobe Digital Editions)
037 $bOverDrive, Inc.$nhttp://www.overdrive.com
100 1 $aStrickland, Robin N $q(Robin N Strickland).
245 10 $aImage-Processing Techniques for Tumor Detection$h[electronic resource].
260 $aNew York, :$bMarcel Dekker, Inc.,$c2003.
500 $aTitle from eBook information screen.
520 $aImage-Processing Techniques for Tumor Detection provides a current review of computer processing algorithms for the identification of lesions, abnormal masses, cancer, and disease in medical images-presenting useful examples from numerous imaging modalities for increased recognition of anomalies in MRI, CT, SPECT, and digital/film X-ray.This reference evaluates and compares specific image processing techniquescontains practical case studies in mammography, chest X-ray, MRI scans, and nuclear medicineoffers image enhancement algorithms for increased detection of abnormalitiesdetails modern strategies to detect the subtle characteristics of a diseaseand discussesthe enhancement of mammograms for improved sensitivity in breast cancer screeningthe design of screening systems to promote reassessment of suspicious regions in computer imagessignal detection theory and algorithm assessmentthe use of standardized image databasesWith contributions from nearly 40 international experts, Image-Processing Techniques for Tumor Detection is an indispensable guide for biomedical, optical, and electrical engineers; radiologists; computer scientists; pathologists; internists; and upper-level undergraduate and graduate students in these disciplines.
533 $aElectronic reproduction.$bNew York, :$cMarcel Dekker, Inc.,$d2003.$nRequires Adobe Digital Editions (file size: 3917 KB).
538 $aRequires Adobe Digital Editions (file size: 3917 KB).
653 #0 $aEngineering
653 #0 $aNonfiction
655 7 $aElectronic books.$2local
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