Oct 20, 2023 · In this work, we describe the development and evaluation of foundation models for histopathology via self-supervised learning (SSL).

This work describes the development and evaluation of foundation models for histopathology via self-supervised learning (SSL) and finds that standard SSL ...

Mar 23, 2024 · Domain-specific optimization and diverse evaluation of self-supervised models for histopathology | arXiv https://arxiv.org/abs/2310.13259 ...

3 days ago · Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. arXiv (2023). Nagpal, K. et al. Development ...

Mar 8, 2024 · In “Domain-specific optimization and diverse evaluation of self-supervised models for histopathology”, we showed that self-supervised learning ( ...

Additional information can be found in the preprint Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. Technical ...

Oct 23, 2024 · This study critically analyzes multiple strategies for encoding tiles to understand the extent of transfer learning and identify the most effective approach.

Nov 22, 2024 · Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. arXiv preprint arXiv:2310.13259, 2023. URL ...

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. Jeremy Lai. Faruk Ahmed. Supriya Vijay. Tiam Jaroensri.

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. Preprint at 10.48550/arxiv.2310.13259 (2023). [DOI]; 110 ...