04758nam 2201429z- 450 991055743510332120231214133029.0(CKB)5400000000043372(oapen)https://directory.doabooks.org/handle/20.500.12854/76739(EXLCZ)99540000000004337220202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDeep Learning in Medical Image AnalysisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (458 p.)3-0365-1469-4 3-0365-1470-8 The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big data arena, new deep learning methods and computational models for efficient data processing, analysis, and modeling of the generated data are crucially important for clinical applications and understanding the underlying biological process. This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis.interpretable/explainable machine learningimage classificationimage processingmachine learning modelswhite boxblack boxcancer predictiondeep learningmultimodal learningconvolutional neural networksautismfMRItexture analysismelanomaglcm matrixmachine learningclassifiersexplainabilityexplainable AIXAImedical imagingdiagnosisARMDchange detectionunsupervised learningmicrowave breast imagingimage reconstructiontumor detectiondigital pathologywhole slide image processingmultiple instance learningdeep learning classificationHER2medical imagestransfer learningoptimizersneo-adjuvant treatmenttumour cellularitycancerbreast cancerdiagnosticsimagingcomputationartificial intelligence3D segmentationactive surfacediscriminant analysisPET imagingmedical image analysisbrain tumorcervical cancercolon cancerlung cancercomputer visionmusculoskeletal imageslung disease detectiontaxonomyconvolutional neural networkCycleGANdata augmentationdermoscopic imagesdomain transfermacroscopic imagesskin lesion segmentationinfection detectionCOVID-19X-ray imagesbayesian inferenceshifted-scaled dirichlet distributionMCMCgibbs samplingobject detectionsurgical toolsopen surgeryegocentric cameracomputers in medicinesegmentationMRIECG signal detectionportable monitoring devices1D-convolutional neural networkmedical image segmentationdomain adaptationmeta-learningU-Netcomputed tomography (CT)magnetic resonance imaging (MRI)low-dosesparse-anglequantitative comparisonZhang Yudongedt950777Gorriz Juan ManueledtDong ZhengchaoedtZhang YudongothGorriz Juan ManuelothDong ZhengchaoothBOOK9910557435103321Deep Learning in Medical Image Analysis3023595UNINA