Design and Development of Devices and Procedures for Recognizing Artefacts and Foreign Tissue Origin for Diagnostic Pathology

诊断病理学识别伪影和外来组织来源的设备和程序的设计和开发

基本信息

  • 批准号:
    536619-2018
  • 负责人:
  • 金额:
    $ 7.99万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Collaborative Research and Development Grants
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

Based on the Canadian Cancer Society (CCS) "Cancer is the leading cause of death in Canada and is responsible for 30% of all deaths." In addition, based on the 2010 CCS report: "49% of men and 45% of women are expected to develop cancer during their lifetime in Canada". Similar statistics can be observed around the world. Routine checkups, radiological exams, and different testing procedures (urine, blood etc.) are all used as parts of the diagnostic framework in any healthcare system. However, the biopsy is considered as the ultimate step required for the diagnosis of many types of cancer, if not of all. Biopsy samples are then analyzed by pathologists who use microscopes or digital scanners to examine the sample and write a diagnostic report. Hence, the accuracy of the cancer diagnosis is widely based on the devices, procedures and human knowledge in pathology laboratories. With the advent of digital pathology more and more experts are using scanners to acquire images from biopsy samples. Laboratory technicians have to manually and visually make sure that the biopsy samples are ready and free from debris and artefacts before placed in scanners. Developing a device to decrease the errors and processing time in one hand and increasing the accuracy of the pathology reports, on the other hand, is urgently needed. We at Kimia Lab at the University of Waterloo, in cooperation with Huron Digital Pathology (the only company in Canada which manufactures, sales and exports digital pathology machines) are planning to develop the first ever affordable device and software to detect a group of artefacts and errors such as floaters, bubbles, and markers. This project's benefits are not limited to the increase of the Canadian digital pathology brand sale by providing the first quality assistance tool in pathology, but also will reduce the time of providing a report as well as an increment in pathology report's accuracy. In some cases, it also can help to prevent repeated biopsies.
根据加拿大癌症协会(CCS)的数据,“癌症是加拿大的主要死因,占所有死亡人数的30%。此外,根据2010年CCS报告:“预计加拿大49%的男性和45%的女性在一生中会患上癌症”。类似的统计数据在世界各地都可以看到。常规检查、放射学检查和不同的检测程序(尿液、血液等)都被用作任何医疗保健系统中诊断框架的一部分。然而,活检被认为是诊断许多类型癌症所需的最终步骤,如果不是全部的话。然后,病理学家使用显微镜或数字扫描仪对活检样本进行分析,并撰写诊断报告。因此,癌症诊断的准确性在很大程度上取决于病理学实验室的设备、程序和人类知识。随着数字病理学的出现,越来越多的专家使用扫描仪从活检样本中获取图像。实验室技术人员必须手动和目视确保活检样本在放入扫描仪之前已准备就绪且无碎片和伪影。因此,迫切需要开发一种设备,一方面减少错误和处理时间,另一方面提高病理报告的准确性。我们在滑铁卢大学的Kimia实验室,与Huron Digital Pathology(加拿大唯一一家制造,销售和出口数字病理学机器的公司)合作,计划开发第一个负担得起的设备和软件,以检测一组伪影和错误,如漂浮物,气泡和标记。该项目的好处不仅限于通过提供病理学领域的第一个优质辅助工具来增加加拿大数字病理学品牌销售,还将减少提供报告的时间以及提高病理报告的准确性。在某些情况下,它也可以帮助防止重复活检。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Tizhoosh, Hamid其他文献

An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS).
  • DOI:
    10.1016/j.jpi.2022.100177
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Parwani, Anil V;Patel, Ankush;Zhou, Ming;Cheville, John C;Tizhoosh, Hamid;Humphrey, Peter;Reuter, Victor E;True, Lawrence D
  • 通讯作者:
    True, Lawrence D

Tizhoosh, Hamid的其他文献

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{{ truncateString('Tizhoosh, Hamid', 18)}}的其他基金

Design and Development of Devices and Procedures for Recognizing Artefacts and Foreign Tissue Origin for Diagnostic Pathology
诊断病理学识别伪影和外来组织来源的设备和程序的设计和开发
  • 批准号:
    536619-2018
  • 财政年份:
    2021
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Collaborative Research and Development Grants
Projectrons - Artificial Neural Networks for Learning Medical Images
投影仪 - 用于学习医学图像的人工神经网络
  • 批准号:
    RGPIN-2019-05632
  • 财政年份:
    2021
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Discovery Grants Program - Individual
Projectrons - Artificial Neural Networks for Learning Medical Images
投影仪 - 用于学习医学图像的人工神经网络
  • 批准号:
    RGPIN-2019-05632
  • 财政年份:
    2020
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Discovery Grants Program - Individual
Design and Development of Devices and Procedures for Recognizing Artefacts and Foreign Tissue Origin for Diagnostic Pathology
诊断病理学识别伪影和外来组织来源的设备和程序的设计和开发
  • 批准号:
    536619-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Collaborative Research and Development Grants
Projectrons - Artificial Neural Networks for Learning Medical Images
投影仪 - 用于学习医学图像的人工神经网络
  • 批准号:
    RGPIN-2019-05632
  • 财政年份:
    2019
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Discovery Grants Program - Individual
Learning to Register, Segment and Retrieve Medical Images
学习配准、分割和检索医学图像
  • 批准号:
    RGPIN-2014-06166
  • 财政年份:
    2018
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Discovery Grants Program - Individual
Learning to Register, Segment and Retrieve Medical Images
学习配准、分割和检索医学图像
  • 批准号:
    RGPIN-2014-06166
  • 财政年份:
    2017
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Discovery Grants Program - Individual
Learning to Register, Segment and Retrieve Medical Images
学习配准、分割和检索医学图像
  • 批准号:
    RGPIN-2014-06166
  • 财政年份:
    2016
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Discovery Grants Program - Individual
Learning to Register, Segment and Retrieve Medical Images
学习配准、分割和检索医学图像
  • 批准号:
    RGPIN-2014-06166
  • 财政年份:
    2015
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Discovery Grants Program - Individual
Learning to Register, Segment and Retrieve Medical Images
学习配准、分割和检索医学图像
  • 批准号:
    RGPIN-2014-06166
  • 财政年份:
    2014
  • 资助金额:
    $ 7.99万
  • 项目类别:
    Discovery Grants Program - Individual

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Design and Development of Devices and Procedures for Recognizing Artefacts and Foreign Tissue Origin for Diagnostic Pathology
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