Slideflow: deep learning for digital histopathology with real-time whole-slide visualization.

ABSTRACT: Deep learning methods have emerged as powerful tools for analyzing histopathological images, but current methods are often specialized for specific domains and software environments, and few open-source options exist for deploying models in an interactive interface. Experimenting with different deep learning approaches typically requires switching software libraries and reprocessing data, reducing the feasibility and practicality of experimenting with new architectures. We developed a flexible deep learning library for histopathology called Slideflow, a package which supports a broad array of deep learning methods for digital pathology and includes a fast whole-slide interface for deploying trained models. Slideflow includes unique tools for whole-slide image data processing, efficient sta

SUBMITTER: Dolezal JM 

PROVIDER: S-EPMC10967068 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature