00825cam0-2200301---450-99000411936040332120121008125738.0000411936FED01000411936(Aleph)000411936FED0100041193619990604d1906----km-y0itay50------bafreFRy-------00-yd<<L'>>affaire J.-J. RousseauEdouard RodParisLibrairie Academique Didier Perrin1906XIV, 360 p.19 cmRousseau, Jean Jacques194Rod,Édouard385736ITUNINARICAUNIMARCBK990004119360403321P.1 7F ROUS/S 45IST.FIL.T.558FLFBCFLFBCAffaire J.-J. Rousseau270481UNINA04795nam 2201453z- 450 991055743510332120220111(CKB)5400000000043372(oapen)https://directory.doabooks.org/handle/20.500.12854/76739(oapen)doab76739(EXLCZ)99540000000004337220202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDeep Learning in Medical Image AnalysisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online 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.1D-convolutional neural network3D segmentationactive surfaceARMDartificial intelligenceautismbayesian inferenceblack boxbrain tumorbreast cancercancercancer predictioncervical cancerchange detectionclassifierscolon cancercomputationcomputed tomography (CT)computer visioncomputers in medicineconvolutional neural networkconvolutional neural networksCOVID-19CycleGANdata augmentationdeep learningdeep learning classificationdermoscopic imagesdiagnosisdiagnosticsdigital pathologydiscriminant analysisdomain adaptationdomain transferECG signal detectionegocentric cameraexplainabilityexplainable AIfMRIgibbs samplingglcm matrixHER2image classificationimage processingimage reconstructionimaginginfection detectioninterpretable/explainable machine learninglow-doselung cancerlung disease detectionmachine learningmachine learning modelsmacroscopic imagesmagnetic resonance imaging (MRI)MCMCmedical image analysismedical image segmentationmedical imagesmedical imagingmelanomameta-learningmicrowave breast imagingMRImultimodal learningmultiple instance learningmusculoskeletal imagesn/aneo-adjuvant treatmentobject detectionopen surgeryoptimizersPET imagingportable monitoring devicesquantitative comparisonsegmentationshifted-scaled dirichlet distributionskin lesion segmentationsparse-anglesurgical toolstaxonomytexture analysistransfer learningtumor detectiontumour cellularityU-Netunsupervised learningwhite boxwhole slide image processingX-ray imagesXAIZhang Yudongedt950777Gorriz Juan ManueledtDong ZhengchaoedtZhang YudongothGorriz Juan ManuelothDong ZhengchaoothBOOK9910557435103321Deep Learning in Medical Image Analysis3023595UNINA