ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.

Ali, Mohammed A. S.; Hollo, Kaspar; Laasfeld, Tõnis; Torp, Jane; Tahk, Maris-Johanna; Rinken, Ago; Palo, Kaupo; Parts, Leopold; Fishman, Dmytro
NameSizeDescription
ArtSeg-CHO-M4R_train.zip868.5MbTraining split of the ArtSeg-CHO-M4R dataset
ArtSeg-CHO-M4R_validation.zip246.4MbValidation split of the ArtSeg-CHO-M4R dataset
ArtSeg-CHO-M4R_test.zip353.5MbTest split of the ArtSeg-CHO-M4R dataset
README.txt3.773Kb
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Date
2022-01-24
URI
https://datadoi.ee/handle/33/433
https://doi.org/10.23673/re-307
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Abstract
The "ArtSeg-CHO-M4R, artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells" dataset contains microscopy images along with the ground truth binary masks for artifact segmentation from brightfield images. The dataset consists of three main directories for train, validation, and test splits. The images' datatype is an unsigned integer (uint8) with a range from 0 and 255 while the ground truth masks pixel values are 0 or 1.
Keyword
artifact; artifact segmentation; anomaly removal; image analysis; deep learning; brightfield microscopy
Item type
info:eu-repo/semantics/dataset
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Except where otherwise noted, this item's license is described as info:eu-repo/semantics/openAccess