LEADER 03520nam 22006255 450 001 9910299891903321 005 20200629224823.0 010 $a3-319-68843-X 024 7 $a10.1007/978-3-319-68843-5 035 $a(CKB)4100000001794687 035 $a(DE-He213)978-3-319-68843-5 035 $a(MiAaPQ)EBC5217032 035 $a(PPN)223956309 035 $a(EXLCZ)994100000001794687 100 $a20180109d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging /$fedited by Kenji Suzuki, Yisong Chen 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXI, 387 p. 140 illus., 96 illus. in color.) 225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v140 311 $a3-319-68842-1 320 $aIncludes bibliographical references at the end of each chapters. 330 $aThis book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients? medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an ?information overload? for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field. 410 0$aIntelligent Systems Reference Library,$x1868-4394 ;$v140 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aArtificial intelligence 606 $aRadiology 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImaging / Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29005 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 0$aArtificial intelligence. 615 0$aRadiology. 615 14$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aArtificial Intelligence. 615 24$aImaging / Radiology. 676 $a616.07540285 702 $aSuzuki$b Kenji$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Yisong$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299891903321 996 $aArtificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging$92544417 997 $aUNINA