pone.0211659.g003.tif (655.64 kB)
Simulated dataset that contains two types of simulated blobs that are generated with known classes.
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posted on 2019-08-26, 17:25 authored by Ismail M. Khater, Stephane T. Aroca-Ouellette, Fanrui Meng, Ivan Robert Nabi, Ghassan Hamarneh(A) The figure shows two samples from each class of the simulated data. The samples are taken from a dataset of 2000 blobs. The blue blobs are samples from the class 1 (positive) and the red blobs are samples from class 2 (negative). (B) The number of generated points per blob in both classes. It shows the percentage of generated blobs from both classes that have a variable number of points per blobs. There is a large overlap between many of blobs from both classes in terms of the number of generated points per blob.
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classificationCaveolaetranscript release factormolecule localization microscopy3 D clusterPC 3-PTRF cellsadaptor protein polymerasePC 3 prostate cancer cellsscaffoldapproachmethodcaveolaepoint clouds10 PC 3accuracyCav 1 proteinsplasma membrane invaginationsPointNet modelSMLM dataCAVINCNNsuper-resolution microscopy imagesmolecule localization microscopy data
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