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Titlebook: Clinical Image-Based Procedures. Translational Research in Medical Imaging; 4th International Wo Cristina Oyarzun Laura,Raj Shekhar,Marius

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發(fā)表于 2025-3-21 18:05:07 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Clinical Image-Based Procedures. Translational Research in Medical Imaging
副標(biāo)題4th International Wo
編輯Cristina Oyarzun Laura,Raj Shekhar,Marius George L
視頻videohttp://file.papertrans.cn/229/228008/228008.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Clinical Image-Based Procedures. Translational Research in Medical Imaging; 4th International Wo Cristina Oyarzun Laura,Raj Shekhar,Marius
描述.This bookconstitutes revised selected papers from the 4th International Workshop onClinical Image-Based Procedures, CLIP 2015, held in conjunction with MICCAI2015 in Munich, Germany, in October 2015.?.The 15 papers presented in thisvolume were carefully reviewed and selected from 22 submissions.?CLIPfocuses on translational research; therefore, the goal of the works presentedin this workshop is to bring basic research methods closer to the clinicalpractice. A highlight of this workshop is the subject of strategies forpersonalized medicine to enhance diagnosis, treatment and interventions..
出版日期Conference proceedings 2016
關(guān)鍵詞Clinical procedures; computational modeling; medical imaging; simulation; visualization; computerized mon
版次1
doihttps://doi.org/10.1007/978-3-319-31808-0
isbn_softcover978-3-319-31807-3
isbn_ebook978-3-319-31808-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis anof tools for medical image data analysis, preprocessing, segmentation and blood flow simulation. In this paper we describe the work flow necessary to perform such tasks as well its implementation in CRIMSON based on multiple well-established open-source libraries, such as MITK and OpenCASCADE. We sh
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Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Realitoughout image-guided neurosurgery in the context of tumour resections. Preliminary results in a study of 3 patients demonstrate the successful combination of the two technologies as well as improved accuracy of the patient-specific models throughout the surgery. The augmented reality visualizations
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Efficient and Extensible Workflow: Reliable Whole Brain Segmentation for Large-Scale, Multi-center omprehensive application is needed to move neuroimaging data into clinical research discoveries in a way that maximizes collected data utilization and minimizes the development costs. We introduce ., a Nipype based open source MRI analysis application distributed with BRAINSTools suite (.). This wor
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Classification of Tumor Epithelium and Stroma in Colorectal Cancer Based on Discrete Tchebichef Momber of samples from the epithelial cell layer and stroma must be collected and analyzed manually to estimate the potential evolution and stage of the disease. In this study, we propose a novel method for automatic classification of tumor epithelium and stroma in digitized tissue microarrays. To this
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