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000866227 020__ $$a9783030137366$$q(electronic book)
000866227 020__ $$a3030137368$$q(electronic book)
000866227 020__ $$z9783030137359
000866227 0247_ $$a10.1007/978-3-030-13736-6$$2doi
000866227 035__ $$aSP(OCoLC)on1090300474
000866227 035__ $$aSP(OCoLC)1090300474
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000866227 08204 $$a616.7/30754$$223
000866227 1112_ $$aComputational Methods and Clinical Applications for Spine Imaging (Workshop)$$n(5th :$$d2018 :$$cGranada, Spain)
000866227 24510 $$aComputational methods and clinical applications for spine imaging :$$b5th International Workshop and Challenge, CSI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised selected papers /$$cGuoyan Zheng, Daniel Belavy, Yunliang Cai, Shuo Li (eds.).
000866227 2463_ $$aCSI 2018
000866227 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019.
000866227 300__ $$a1 online resource (x, 181 pages) :$$billustrations.
000866227 336__ $$atext$$btxt$$2rdacontent
000866227 337__ $$acomputer$$bc$$2rdamedia
000866227 338__ $$aonline resource$$bcr$$2rdacarrier
000866227 4901_ $$aLecture notes in computer science ;$$v11397
000866227 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
000866227 500__ $$aIncludes author index.
000866227 5050_ $$aSpinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU.- Predicting Scoliosis in DXA Scans Using Intermediate Representations.- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery.- Automated Grading of Modic Changes Using CNNs -- Improving the Performance with Mix-up.- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models.- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks.- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI.- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning.- Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach.
000866227 506__ $$aAccess limited to authorized users.
000866227 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 21, 2019).
000866227 650_0 $$aSpine$$xImaging$$vCongresses.
000866227 7001_ $$aZheng, Guoyan,$$eeditor.
000866227 7001_ $$aBelavy, Daniel,$$eeditor.
000866227 7001_ $$aCai, Yunliang,$$eeditor.
000866227 7001_ $$aLi, Shuo,$$d1974-$$eeditor.
000866227 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(21st :$$d2018 :$$cGranada, Spain),$$jjointly held conference.
000866227 830_0 $$aLecture notes in computer science ;$$v11397.
000866227 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000866227 852__ $$bebk
000866227 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-13736-6$$zOnline Access$$91397441.1
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