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010   $a981-10-4026-5
024 7 $a10.1007/978-981-10-4026-9
035   $a(CKB)4100000005323448
035   $a(DE-He213)978-981-10-4026-9
035   $a(MiAaPQ)EBC5472001
035   $a(PPN)229499686
035   $a(EXLCZ)994100000005323448
100   $a20180720d2018      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPathological Brain Detection$b[electronic resource] /$fby Shui-Hua Wang, Yu-Dong Zhang, Zhengchao Dong, Preetha Phillips
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (XXVI, 214 p.) 
225 1 $aBrain Informatics and Health,$x2367-1742
311   $a981-10-4025-7 
327   $a1 Basics of Pathological Brain Detection (PBD) -- 2 Neuroimaging Modalities: Strengths and Weaknesses -- 3 Image Preprocessing for Pathological Brain Detection: A Summary -- 4 Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging -- 5 Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging -- 6 Dimensionality Reduction of Brain Image Features -- 7 Classification Methods for Pathological Brain Detection -- 8 Weight Optimization of Classifiers for Pathological Brain Detection -- 9 Comparison of Current PBD Systems.
330   $aThis book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer?s detection, multiple sclerosis detection, etc. .
410  0$aBrain Informatics and Health,$x2367-1742
606   $aOptical data processing
606   $aPattern recognition
606   $aRadiology
606   $aNeuroradiology
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aDiagnostic Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29013
606   $aNeuroradiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H2903X
615  0$aOptical data processing.
615  0$aPattern recognition.
615  0$aRadiology.
615  0$aNeuroradiology.
615 14$aImage Processing and Computer Vision.
615 24$aPattern Recognition.
615 24$aDiagnostic Radiology.
615 24$aNeuroradiology.
676   $a006.6
676   $a006.37
700   $aWang$b Shui-Hua$4aut$4http://id.loc.gov/vocabulary/relators/aut$0950776
702   $aZhang$b Yu-Dong$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aDong$b Zhengchao$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aPhillips$b Preetha$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299309803321
996   $aPathological Brain Detection$92281695
997   $aUNINA