Description
This is a dataset that contains microscope images from two cell lines, namely, a human osteosarcoma cell line (U2OS) and a human leukemia cell line (HL-60). The dataset was originally prepared for the cell counting task. It contains 165 labeled images (training: 133, test: 32).
The file contains three folders:
- training: 165 labeled images in .tiff format;
- test: 32 labeled images in .tiff format.
Each labeled image has the following name: X.Y.N.tiff
where:
X - the name of the human cancer cell line;
Y - a condition identifier (irrelevant);
N - the cell count.
If you use this dataset, please cite the following paper:
Lavitt F, Rijlaarsdam DJ, van der Linden D, Weglarz-Tomczak E, Tomczak JM. Deep Learning and Transfer Learning for Automatic Cell Counting in Microscope Images of Human Cancer Cell Lines. <em>Applied Sciences</em>. 2021; 11(11):4912. https://doi.org/10.3390/app11114912
The file contains three folders:
- training: 165 labeled images in .tiff format;
- test: 32 labeled images in .tiff format.
Each labeled image has the following name: X.Y.N.tiff
where:
X - the name of the human cancer cell line;
Y - a condition identifier (irrelevant);
N - the cell count.
If you use this dataset, please cite the following paper:
Lavitt F, Rijlaarsdam DJ, van der Linden D, Weglarz-Tomczak E, Tomczak JM. Deep Learning and Transfer Learning for Automatic Cell Counting in Microscope Images of Human Cancer Cell Lines. <em>Applied Sciences</em>. 2021; 11(11):4912. https://doi.org/10.3390/app11114912
Date made available | 2021 |
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Publisher | Zenodo |