Shulou(Shulou.com)11/24 Report--

CTOnews.com, May 24, Google recently announced the opening up of an Python database called EZ WSI DICOMWeb, which aims to simplify operations and help developers more easily access and retrieve full glass image WSI information from cloud DICOM (Medical Digital Image transfer Protocol) storage, thus promoting the development of digital pathology artificial intelligence applications.

▲ image source GitHub reason full-glass image WSI high-resolution image capacity is very large, from DICOM storage to DICOMweb to retrieve specific WSI information is not a simple task. Therefore, the purpose of Google's development of EZ WSI DICOMWeb Python library is to simplify these operations, efficiently and easily access WSI block images, and make WSI easy to share and access.

Compared with the traditional method of downloading complete WSI from DICOM storage, capturing block images on the local side not only increases the cost of network traffic, but also results in more latency and takes up a lot of storage space. The EZ WSI DICOMWeb database can directly retrieve the WSI block images needed by API, so it can use image data intuitively and succinctly, and developers do not need to have an in-depth understanding of the data structure and API of DICOM, but can focus more on application development, further promote collaboration and knowledge transfer, and make it easier for researchers to use these data in machine learning technology to promote the application of artificial intelligence in the field of health care.

CTOnews.com note: pathological sections are tissue samples cut into very thin slices, stained and observed under a microscope, which is part of the medical diagnosis. WSI is a technology to digitize traditional pathological slices, which can be stored locally or in the cloud so that they can be easily used for remote diagnosis, education and research.

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