FocusPath Full Dataset

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 [email protected] http://orcid.org/0000-0002-9147-0731