FocusPath Full Dataset
Creators
Description
Content
This is the full FocusPath dataset, containing 8640 patches of 1024 x 1024 images. These images are extracted from nine different stained slides.
The original Whole Slide Images are scanned by Huron TissueScope LE1.2. It uses a 40X optics lens at 0.25µm/pixel resolution.
There are 14 absolute z-level scores assigned to these patches which correspond to the ground-truth class for the focus level.
More Information
For more information, please refer to the following paper. Please cite this paper when using the dataset.
@article{8672094,
author={M. S. {Hosseini} and Y. {Zhang} and K. N. {Plataniotis}},
journal={IEEE Transactions on Image Processing},
title={Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment},
year={2019},
volume={28},
number={9},
pages={4510-4525},
doi={10.1109/TIP.2019.2906582},
ISSN={1057-7149},
month={Sep.},
}
For information on how FocusPath can be used in a deep learning pipeline for training CNN models, please visit the repository at: https://github.com/icbcbicc/FocusLiteNN/
Contact
For questions, please contact:
Mahdi Hosseini
mahdi.hosseini@utoronto.ca
Files
FocusPath Full.zip
Files
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