首页自然科学
   首页生物学
   首页人类学
0


欧洲生物库组织数字化内容相关服务——BIOPOOL

Services associated to digitalised contents of tissues in biobanks across Europe – BIOPOOL
课程网址: http://videolectures.net/dataforum2012_bilbao_biopool/  
主讲教师: Roberto Bilbao
开课单位: 巴斯克健康创新与研究基金会
开课时间: 2012-09-16
课程语种: 英语
中文简介:
如今,为研究细胞、腺体、组织和器官的组成以及可能影响它们的病理学,对活检切片进行数码成像已成为普遍做法。这些图像对医学诊断、研究和教育都有很高的兴趣。 医院和生物库中的病理科通常是为生命科学提供存档生物样本的设施。他们管理组织样本、相关的数字图像和其他补充数字数据(健康信息,如病理学或患者随后进行的治疗)。尽管大多数病理科和生物库都能充分捕捉和存储不同生物材料的数字图像,但生物库并不经常将具有代表性的健康信息与其样本的数字图像充分关联起来,更不常见的是在网络中共享这些图像。因此,数字图像通常分布在不同的系统中,这些系统存储在不同的格式、数据库和设备中,属于不同类型的机构,它们不容易识别和访问。这就为不同感兴趣的组织之间共享和重用此类数据创造了一个困难的环境。 BIOPOOL联盟项目旨在实施一种新的方法,这是由于病理科和生物库需要共享、交换、处理、理解和利用数字组织学图像和与这些机构中存储的生物材料相关的数据。该项目将开发所需技术,从不同的池中提取和收集这些数字信息,并对其进行分析,以及能够对其进行比较并对图像进行评分,所述图像基于创新的基于内容的图像检索(CBIR)系统,能够使用不同的文本和图像混合查询来搜索组织学图像。BIOPOOL将建立完整的智能生物库和病理科网络,为泛欧诊断和医学研究合作奠定建设性基础。 来自四个不同国家的七个合作伙伴在BIOPOOL合作。在这个联合体项目中,中小企业做了很大的努力。来自BIOPOOL的结果将被转化为新的服务和产品,使用其他组织提供的技术和数据池,允许在数字病理学,特别是诊断方面进行更精确的驱动。
课程简介: Nowadays it has become common practice to take digital images of thin slices of biopsies that are obtained for studying the composition of cells, glands, tissues and organs, and the possible pathologies that may affect them. These images are of high interest in medical diagnostics, research and education. Pathology departments in hospitals and Biobanks are usually the facilities that provide archived biological samples for use in life sciences. They manage the tissue samples, the associated digital images and other complementary digital data (health information such as pathologies or treatments followed by the patient). Although most of the pathology departments and biobanks adequately capture and store digital images of the different biologic materials, it is not so usual for biobanks to adequately associate the representative health information to the digital images of their samples and it is even less usual sharing these images in a network. So, the digital images are usually spread all over different systems stored in different formats, databases and facilities belonging to different types of institutions and they are not easily identifiable and reachable. This creates a difficult environment for sharing and reusing this type of data between different interested organisations. The BIOPOOL consortium project has been created to carry out a new approach, that arises from the need of pathology departments and biobanks of sharing, exchanging, processing, understanding and exploiting the digital histology images and the data associated to the biologic material stored in these institutions. The project will develop the needed technology to extract and gather this digital information from different pools, analyse it, and being able to compare it and to score images similar to one provided as a search pattern based on an innovative Content Based Image Retrieval (CBIR) system capable of searching histological images using different mixed text and image queries. BIOPOOL will establish a complete intelligent biobank and pathology department network, building a constructive basis for pan-European cooperation in diagnosis and medical research. Seven partners from four different countries collaborate together in BIOPOOL. A great effort is done by the SMEs within this consortium project. The results coming from BIOPOOL will be translated into new services and products using the technologies and data pools provided by the other organisations allowing more precise actuations in digital pathology, especially in diagnosis.
关 键 词: 医学诊断; 病理学; 生物库
课程来源: 视频讲座网
数据采集: 2020-10-28:yxd
最后编审: 2020-11-02:yxd
阅读次数: 120