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020 _a9789400753891
_9978-94-007-5389-1
024 7 _a10.1007/978-94-007-5389-1
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC009000
_2bisacsh
082 0 4 _a610.28
_223
245 1 0 _aColor Medical Image Analysis
_h[electronic resource] /
_cedited by M. Emre Celebi, Gerald Schaefer.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2013.
300 _aX, 206 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computational Vision and Biomechanics,
_x2212-9391 ;
_v6
520 _aSince the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.
650 0 _aEngineering.
650 0 _aRadiology.
650 0 _aImage processing.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aBiomedical Engineering.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aImaging / Radiology.
700 1 _aCelebi, M. Emre.
_eeditor.
700 1 _aSchaefer, Gerald.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400753884
830 0 _aLecture Notes in Computational Vision and Biomechanics,
_x2212-9391 ;
_v6
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-5389-1
912 _aZDB-2-ENG
942 _2Dewey Decimal Classification
_ceBooks
999 _c48576
_d48576