02727nam 2200781z- 450 991055752260332120220111(CKB)5400000000044353(oapen)https://directory.doabooks.org/handle/20.500.12854/76783(oapen)doab76783(EXLCZ)99540000000004435320202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMachine Learning in Image Analysis and Pattern RecognitionBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (112 p.)3-0365-1714-6 3-0365-1713-8 This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.Information technology industriesbicsscaction recognitionaphidAphoideaautomated image codingbag-to-classBI-RADSbreast cancer mammogram datasetclassificationclinical datadata collection methodsdatasetdeep learningdetectiondissimilaritydivergencefermentationimage classificationimage processingimage segmentationinterdisciplinary learning theoryinternet of thingsKullback-Leiblerlemonmachine learningmulti-instance learningplant disease recognitionresearch methodssegment-based temporal modelingsystematic literature reviewteatwo-stream networkultrasound breast cancer scansvisitor use managementInformation technology industriesKumar Munishedt1312703Sharma R. KedtSethi IshwaredtKumar MunishothSharma R. KothSethi IshwarothBOOK9910557522603321Machine Learning in Image Analysis and Pattern Recognition3030932UNINA