LEADER 03003nam 22006495 450 001 9910847073903321 005 20250807153305.0 010 $a3-031-51893-4 024 7 $a10.1007/978-3-031-51893-5 035 $a(CKB)31253108200041 035 $a(MiAaPQ)EBC31266991 035 $a(Au-PeEL)EBL31266991 035 $a(MiAaPQ)EBC31233433 035 $a(Au-PeEL)EBL31233433 035 $a(DE-He213)978-3-031-51893-5 035 $a(EXLCZ)9931253108200041 100 $a20240329d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Applications in Medicine and Biology /$fedited by Ammar Ahmed, Joseph Picone 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (170 pages) 311 08$a3-031-51892-6 327 $aIntroduction -- Signal and Image Analysis (EEG, ECG, MRI) -- Machine Learning -- Data Mining and Classification -- Big Data -- Index. 330 $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. . 606 $aBiomedical engineering 606 $aImaging systems in biology 606 $aMachine learning 606 $aSignal processing 606 $aBiomedical Engineering and Bioengineering 606 $aBiological Imaging 606 $aMachine Learning 606 $aBiomedical Devices and Instrumentation 606 $aDigital and Analog Signal Processing 615 0$aBiomedical engineering. 615 0$aImaging systems in biology. 615 0$aMachine learning. 615 0$aSignal processing. 615 14$aBiomedical Engineering and Bioengineering. 615 24$aBiological Imaging. 615 24$aMachine Learning. 615 24$aBiomedical Devices and Instrumentation. 615 24$aDigital and Analog Signal Processing. 676 $a060 702 $aPicone$b Joseph 702 $aAhmed$b Ammar, 1983- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910847073903321 996 $aMachine Learning Applications in Medicine and Biology$94154579 997 $aUNINA