Robotics & Machine Learning Daily News2024,Issue(Nov.25) :53-54.

New Data from University College London (UCL) Illuminate Researchin Machine Lea rning (Deep learning for 3D vascular segmentationin hierarchical phase contrast tomography: a case study on kidney)

伦敦大学学院(UCL)新数据照亮研究三维血管分割的机器学习(Deep Learning)多层螺旋ct在肾脏成像中的应用

Robotics & Machine Learning Daily News2024,Issue(Nov.25) :53-54.

New Data from University College London (UCL) Illuminate Researchin Machine Lea rning (Deep learning for 3D vascular segmentationin hierarchical phase contrast tomography: a case study on kidney)

伦敦大学学院(UCL)新数据照亮研究三维血管分割的机器学习(Deep Learning)多层螺旋ct在肾脏成像中的应用

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据新闻报道来自伦敦大学学院(UCL),由NewsRx通讯员,研究称,“自动化”随着血管形态的变化,血管分割是生物医学图像分析的关键与许多疾病有关。然而,由于数据的复杂性,精确分割仍然是困难的血管结构、患者之间的解剖差异、有注释的公共数据集的稀缺,以及图像的质量。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from the Universi ty College London (UCL) by NewsRx correspondents, research stated, “Automatedbl ood vessel segmentation is critical for biomedical image analysis, as vessel mor phology changesare associated with numerous pathologies. Still, precise segment ation is difficult due to the complexity ofvascular structures, anatomical vari ations across patients, the scarcity of annotated public datasets, andthe quali ty of images.”

Key words

University College London (UCL)/Cyborgs/Emerging Technologies/Machine Learning.

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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