SlideTiler: A dataset creator software for boosting deep learning on histological whole slide images.

ABSTRACT: The introduction of deep learning caused a significant breakthrough in digital pathology. Thanks to its capability of mining hidden data patterns in digitised histological slides to resolve diagnostic tasks and extract prognostic and predictive information. However, the high performance achieved in classification tasks depends on the availability of large datasets, whose collection and preprocessing are still time-consuming processes. Therefore, strategies to make these steps more efficient are worth investigation. This work introduces SlideTiler, an open-source software with a user-friendly graphical interface. SlideTiler can manage several image preprocessing phases through an intuitive workflow that does not require specific coding skills. The software was designed to provide direct acc

SUBMITTER: Barcellona L 

PROVIDER: S-EPMC10787253 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature