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相关概念视频

Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Aggregates Classification01:29

Aggregates Classification

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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
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Data Collection II01:29

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data Collection I01:30

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data Collection by Experiments01:13

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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灵魂:一个基于人机协作注释框架的OCTA数据集.

Jingyan Xue1, Zhenhua Feng2, Lili Zeng1

  • 1School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100044, China.

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概括

为了分支视网膜静脉封闭 (BRVO) 研究,开发了新的数据集Soul和人机注释框架. 这个资源有助于分析视网膜血管疾病,使用先进的成像技术,如OCTA.

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科学领域:

  • 眼科医生 眼科 眼科
  • 医疗成像医学成像
  • 计算机视觉 计算机视觉

背景情况:

  • 分支视网膜静脉封闭 (BRVO) 是由于静脉压力增加而导致视力受损的主要原因.
  • 光学连贯断层扫描血管图 (OCTA) 提供高分辨率的3D视网膜血管图像.
  • 现有的数据集缺乏对BRVO和全面注释的关注,阻碍了研究.

研究的目的:

  • 为了介绍灵魂数据集,专门为BRVO研究策划.
  • 为高效的数据标签提出一个人机协作注释框架 (HMCAF).
  • 为了促进机器学习应用在分析视网膜血管疾病.

主要方法:

  • 灵魂数据集的开发,包括原始图像,血管标签和临床数据.
  • 数据集根据注射频率和随访时间分为6个子集的分类.
  • 实施HMCAF用于注释编码的视网膜血管数据.

主要成果:

  • 创建一个专门的BRVO数据集 (Soul),包含各种各样的子集.
  • 建立一个协作框架 (HMCAF) 以实现高效和准确的注释.
  • 为眼科医学的机器学习模型开发提供了有价值的资源.

结论:

  • 灵魂数据集和HMCAF为BRVO研究提供了重大进展.
  • 这种资源使得视网膜血管疾病的机器学习驱动分析更有效.
  • 未来的研究可以利用这个数据集来改进诊断和预后工具.