LEADER 04991nam 2201657z- 450 001 9910743276403321 005 20230911 035 $a(CKB)5690000000228544 035 $a(oapen)doab113993 035 $a(EXLCZ)995690000000228544 100 $a20230920c2023uuuu -u- - 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aArtificial Intelligence in Medical Image Processing and Segmentation 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2023 215 $a1 online resource (348 p.) 311 08$a3-0365-8586-9 330 $aThis reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $a2D ultrasound image 610 $a2D/3D registration 610 $a3D virtual reconstruction 610 $aALO 610 $aartificial hummingbird algorithm 610 $aartificial intelligence 610 $aartificial neural network (ANN) 610 $aattention mechanism 610 $aauto-segmentation 610 $aautomatic volume measurement 610 $abreast cancer 610 $abreast density 610 $aCAD 610 $acanonical correlation analysis (CCA) 610 $acarbon ion radiotherapy 610 $aCBCT 610 $acervical cancer 610 $acervical net 610 $achildren 610 $aCNN 610 $acomparison 610 $acomputer vision applications 610 $aconvolutional neural network 610 $aConvolutional Neural Networks 610 $aCranio-Maxillofacial surgery 610 $aCT 610 $aDarkNet-19 610 $adeep learning 610 $adeep learning structures 610 $aDICOM 610 $adirectional total variation 610 $adisease discrimination accuracy 610 $adual-energy CT 610 $aedge computing 610 $aensemble learning 610 $afeature fusion 610 $afeature selection 610 $afundus image 610 $aGAN 610 $aGrad-CAM 610 $ahematoxylin eosin 610 $ahistopathological 610 $ahistopathology 610 $ahistopathology images 610 $aimage enhancement 610 $aimage inpainting 610 $aimage normalization 610 $aimage preprocessing 610 $aimage registration 610 $aimage segmentation 610 $aimage-guided radiotherapy 610 $ain-house 610 $ainstance segmentation 610 $ak-nearest neighbour (KNN) 610 $alesion segmentation 610 $alimited-angular range 610 $aloss function 610 $amagnetic resonance imaging 610 $amandible 610 $amask-transformer-based networks 610 $amedical image analysis 610 $amedical imaging 610 $amitotic nuclei classification 610 $aMobileNet 610 $amp-MRI 610 $aMRI 610 $aMRI guidance 610 $aMRI-only 610 $amulti-contrast MRI 610 $aNasNet 610 $aneuroimaging 610 $anuclei detection 610 $anuclei segmentation 610 $aOCT 610 $aorthogonal X-ray 610 $aosteoarthritis 610 $aovarian tumor 610 $aPA 610 $apanoptic segmentation 610 $apanoramic radiographs 610 $apap smear 610 $aparticle therapy 610 $apatch size 610 $aPCA 610 $aPCNSL 610 $aperformance comparisons 610 $aprostate cancer 610 $aprostate segmentation 610 $apyramidal network 610 $aradiomics 610 $arandom forest (RF) 610 $arare neurodevelopmental disorder 610 $arare tumor 610 $aResNet-101 610 $asafranin O fast green 610 $ascale-adaptive 610 $asegmentation 610 $asemantic segmentation 610 $ashuffle net 610 $aShuffleNet 610 $asoftware 610 $asupport vector machine 610 $asupport vector machine (SVM) 610 $asynthetic CT 610 $ateeth segmentation 610 $atextural 610 $atooth disease recognition 610 $atuberous sclerosis complex 610 $atwo-step method 610 $aU-Net 610 $aultrasound bladder scanner 610 $aurinary disease 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 906 $aBOOK 912 $a9910743276403321 996 $aArtificial Intelligence in Medical Image Processing and Segmentation$93560560 997 $aUNINA