Treffer: LazySlide: accessible and interoperable whole slide image analysis.

The article focuses on the introduction of LazySlide, an open-source Python package designed for efficient whole-slide image (WSI) analysis and multimodal integration in histopathology. Developed within the scverse ecosystem, LazySlide aims to connect histopathological data with omics workflows by utilizing vision-language foundation models. It offers features such as tissue and cell segmentation, feature extraction, cross-modal querying, and zero-shot classification, making advanced histopathology analysis more accessible to both novice and expert users. The preprint highlights the potential of LazySlide to enhance AI-driven discovery in tissue biology and pathology. [Extracted from the article]

Copyright of Health & Medicine Week is the property of NewsRx and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)