Home Technology peripherals AI Google open source cloud pathology Python database to accelerate the development of medical AI scenarios

Google open source cloud pathology Python database to accelerate the development of medical AI scenarios

May 27, 2023 pm 03:28 PM

IT House News on May 24th, Google recently announced that it will open source a Python library called EZ WSI DICOMWeb to simplify operations and help developers more easily access DICOM (Medical Digital Imaging Transport Protocol) storage from the cloud. Access and retrieve WSI information of whole slide images, thereby promoting the development of artificial intelligence applications in digital pathology.

谷歌开源云端病理学 Python 资料库,加速医疗 AI 场景研发

▲ Picture source GitHub

Because the whole slide image WSI high-resolution image capacity is very large, retrieving specific WSI information from DICOM storage using DICOMweb is not a simple matter. Therefore, the purpose of Google's development of the EZ WSI DICOMWeb Python library is to simplify these operations, access WSI block images efficiently and simply, and make WSI easy to share and access.

Compared with the previous traditional method of downloading the complete WSI from DICOM storage, retrieving block images locally not only increases network traffic usage, but also generates more delays and takes up a lot of storage space. The EZ WSI DICOMWeb information base can directly retrieve the required WSI block images through the API, so image data can be used intuitively and concisely. Developers do not need to have an in-depth understanding of DICOM data structures and APIs, and can focus more on application development. , further promoting collaboration and knowledge transfer, while making it easier for researchers to use this data for machine learning techniques to advance artificial intelligence applications in healthcare.

IT Home Note: Pathological sectioning is to cut tissue samples into very thin slices, stain them and observe them under a microscope. This is part of medical diagnosis. WSI is a technology that digitizes traditional pathology slides. The pathological slides are digitized and stored locally or in the cloud so that they can be easily used for remote diagnosis, education, and research purposes.

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