Titlebook: Bildverarbeitung für die Medizin 2014; Algorithmen - System Thomas Martin Deserno,Heinz Handels,Thomas Tolxdor Conference proceedings 2014

Defect

书目名称Bildverarbeitung für die Medizin 2014影响因子(影响力)




书目名称Bildverarbeitung für die Medizin 2014影响因子(影响力)学科排名




书目名称Bildverarbeitung für die Medizin 2014网络公开度




书目名称Bildverarbeitung für die Medizin 2014网络公开度学科排名




书目名称Bildverarbeitung für die Medizin 2014被引频次




书目名称Bildverarbeitung für die Medizin 2014被引频次学科排名




书目名称Bildverarbeitung für die Medizin 2014年度引用




书目名称Bildverarbeitung für die Medizin 2014年度引用学科排名




书目名称Bildverarbeitung für die Medizin 2014读者反馈




书目名称Bildverarbeitung für die Medizin 2014读者反馈学科排名

TIA742

Misgiving

https://doi.org/10.1007/978-3-030-17624-2uncation, we apply a recently proposed algorithm – Approximated Truncation Robust Algorithm for Computed Tomography (ATRACT). The evaluation with two clinical datasets demonstrates that high image quality is achieved using this super short scan, with more dose reduction compared to a standard short scan.

清真寺

Parallel

Region of Interest Reconstruction from Dose-Minimized Super Short Scan Data,uncation, we apply a recently proposed algorithm – Approximated Truncation Robust Algorithm for Computed Tomography (ATRACT). The evaluation with two clinical datasets demonstrates that high image quality is achieved using this super short scan, with more dose reduction compared to a standard short scan.

Blazon

Derogate

dry-eye

Ummer Farooque Musliyar Kurunkatilhe support of mobile devices and even a medical imaging equivalent of the App Store paradigm. We discuss current and emerging challenges of medical image computing both from a methodological and from a technological perspective.

小臼

Islamic Fundamentalism in Egyptian Politics for all 12 considered epiphyseal regions of interest. The technique has been applied to extract 12 epiphyseal regions of interest for a subsequent automatic bone age assessment. It achieved a localization success rate of 98.1% on a corpus with 412 left hand radiographs covering the age range from 3 to 19 years.

TOXIC

Future Challenges of Medical Image Computing,he support of mobile devices and even a medical imaging equivalent of the App Store paradigm. We discuss current and emerging challenges of medical image computing both from a methodological and from a technological perspective.