02718nam a22004815i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001600166072002300182072001500205245012200220250001800342264006900360300006300429336002600492337002600518338003600544347002400580505013800604520084400742650002801586650003201614650002201646650002301668650004701691650002401738650002201762650004401784650004201828700007501870700007701945710003402022773002602056776003602082776003602118776003602154856004602190978-3-031-51893-5DE-He21320251030111752.0cr nn 008mamaa240329s2024    sz |    s    |||| 0|eng d  a97830315189357 a10.1007/978-3-031-51893-52doi 4aR856-857 7aMQW2bicssc 7aTEC0590002bisacsh 7aMQW2thema10aMachine Learning Applications in Medicine and Biologyh[electronic resource] /cedited by Ammar Ahmed, Joseph Picone.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aV, 168 p. 62 illus., 52 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aIntroduction -- Signal and Image Analysis (EEG, ECG, MRI) -- Machine Learning -- Data Mining and Classification -- Big Data -- Index.  aThis book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the life sciences. Topics covered include: Signal and image analysis (EEG, ECG, MRI) Machine learning Data mining and classification Big data resources Applications of particular interest at the 2022 symposium included digital pathology, computational biology, and quantum computing. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers in signal processing, medicine, and biology. Presents an interdisciplinary look at research trends; Promotes collaboration between practitioners and researchers; Includes tutorials and examples of successful applications. . 0aBiomedical engineering. 0aImaging systems in biology. 0aMachine learning. 0aSignal processing.14aBiomedical Engineering and Bioengineering.24aBiological Imaging.24aMachine Learning.24aBiomedical Devices and Instrumentation.24aDigital and Analog Signal Processing.1 aAhmed, Ammar.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aPicone, Joseph.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303151892808iPrinted edition:z978303151894208iPrinted edition:z978303151895940uhttps://doi.org/10.1007/978-3-031-51893-5