Titlebook: Clinical Image-Based Procedures. Translational Research in Medical Imaging; Third International Marius George Linguraru,Cristina Oyarzun L

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書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging影響因子(影響力)




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging影響因子(影響力)學(xué)科排名




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging網(wǎng)絡(luò)公開度




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging被引頻次




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging被引頻次學(xué)科排名




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging年度引用




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging年度引用學(xué)科排名




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging讀者反饋




書目名稱Clinical Image-Based Procedures. Translational Research in Medical Imaging讀者反饋學(xué)科排名

木質(zhì)

DEMN

Fab Lab for Appropriate Technologiescontexts including improved segmentation quality, increased registration accuracy, and decreased sensitivity to parameter setting. We present quantitative and qualitative validation on a bovine femur phantom and on real-life clinical pelvis US data from 18 trauma patients using computed tomography (CT) image sets as ground truth.

JAUNT

S. Namasivaya Naveen,Saumendra K. Bajpaid robustness and reduces observer variability. Our experimental results on 80 pairs of CT scans from 40 patients with ground-truth segmentations by a radiologist yield an average overlap error of 14.5?% (std?=?5.6), a significant improvement from the 30?% (std?=?13.3) result of stand-alone fast marching segmentation.

混合

Rural Newfoundland and Labradorf MS lesions. Experimental results demonstrate that our technique accurately performs the task of intensity standardization. We show consequently how the same technique can improve the results of longitudinal MS lesion detection.

搖擺

Hierarchical Shape Modeling of the Cochlea and Surrounding Risk Structures for Minimally Invasive Cic models at the highest resolution. This model is the basis for the automatic segmentation of patient data, allowing to quantify the relative position of risk structures in planning the intervention.

搖擺

Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle BrBB on the 3D heart model. With the quantitative analysis proposed, BBB patterns can be more easily distinguished in 3D model than by visual inspection of the standard ECG and BSPM, therefore enhancing BBB diagnosis for the physicians.

BUDGE

水汽

Automatic Lung Tumor Segmentation with Leaks Removal in Follow-up CT Studies,d robustness and reduces observer variability. Our experimental results on 80 pairs of CT scans from 40 patients with ground-truth segmentations by a radiologist yield an average overlap error of 14.5?% (std?=?5.6), a significant improvement from the 30?% (std?=?13.3) result of stand-alone fast marching segmentation.

昏迷狀態(tài)

Longitudinal Intensity Normalization in Multiple Sclerosis Patients,f MS lesions. Experimental results demonstrate that our technique accurately performs the task of intensity standardization. We show consequently how the same technique can improve the results of longitudinal MS lesion detection.