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000945142 1112_ $$aML-CDS (Workshop)$$n(10th :$$d2020 :$$cOnline)
000945142 24510 $$aMultimodal learning for clinical decision support and clinical image-based procedures :$$b10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings /$$cTanveer Syeda-Mahmood, Klaus Drechsler et al. (eds.).
000945142 2463_ $$aML-CDS 2020
000945142 2463_ $$aCLIP 2020
000945142 260__ $$aCham :$$bSpringer,$$c2020.
000945142 300__ $$a1 online resource (XII, 138 pages) :$$billustrations.
000945142 336__ $$atext$$btxt$$2rdacontent
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000945142 4901_ $$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$$v12445
000945142 5050_ $$aCLIP 2020 -- Optimal Targeting Visualizations for Surgical Navigation of Iliosacral Screws -- Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records -- A Radiomics-based Machine Learning Approach to Assess Collateral Circulation in Stroke on Non-contrast Computed Tomography -- Image-based Subthalamic Nucleus Segmentation for Deep Brain Surgery With Electrophysiology Aided Refinement -- 3D Slicer Craniomaxillofacial Modules Support Patient-specific Decision-making for Personalized Healthcare in Dental Research -- Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision -- Single-shot Deep Volumetric Regression for Mobile Medical Augmented Reality -- A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge -- Adversarial Prediction of Radiotherapy Treatment Machine Parameters -- ML-CDS 2020 -- Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data -- Towards Automated Diagnosis with Attentive Multi-Modal Learning Using Electronic Health Records and Chest X-rays -- LUCAS: LUng CAncer Screening with Multimodal Biomarkers -- Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound.
000945142 506__ $$aAccess limited to authorized users.
000945142 520__ $$aThis book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
000945142 650_0 $$aArtificial intelligence.
000945142 650_0 $$aOptical data processing.
000945142 650_0 $$aApplication software.
000945142 650_0 $$aBioinformatics.
000945142 650_0 $$aDatabase management.
000945142 7001_ $$aSyeda-Mahmood, Tanveer,$$eeditor.
000945142 7001_ $$aDrechsler, Klaus,$$eeditor.
000945142 7001_ $$aGreenspan, Hayit,$$eeditor.
000945142 7001_ $$aMadabhushi, Anant,$$eeditor.
000945142 7001_ $$aKarargyris, Alexandros.,$$eeditor.
000945142 7001_ $$aLinguraru, Marius George,$$eeditor.
000945142 7001_ $$aOyarzun Laura, Cristina.,$$eeditor.
000945142 7001_ $$aShekhar, Raj,$$eeditor.
000945142 7001_ $$aWesarg, Stefan.,$$eeditor.
000945142 7001_ $$aGonzález Ballester, Miguel Ángel.,$$eeditor.
000945142 7001_ $$aErdt, Marius,$$eeditor.
000945142 77608 $$iPrint version:$$aSyeda-Mahmood, Tanveer$$tMultimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures : 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings$$dCham : Springer International Publishing AG,c2020$$z9783030609450
000945142 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics ;$$v12445.
000945142 852__ $$bebk
000945142 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-60946-7$$zOnline Access$$91397441.1
000945142 909CO $$ooai:library.usi.edu:945142$$pGLOBAL_SET
000945142 980__ $$aEBOOK
000945142 980__ $$aBIB
000945142 982__ $$aEbook
000945142 983__ $$aOnline
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