Our paper on “Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images” by Niccolò Marini et al. has been published in Frontiers in Computer Science, section Digital Public Health.
This paper describes our python library called Multi_Scale_Tools. It includes four components:
- a pre-processing component with two methods to split the WSIs in patches from arbitrary magnification levels,
- a CNN-based scale regressor to predict the magnification in a continuous range between 5-40x,
- two multi-scale CNN architectures to make predictions at patch-level and
- a multi-scale CNN architecture called HookNet to segment WSIs.
The code is available on GitHub: https://github.com/sara-nl/multi-scale-tools