Khater, Ismail M. Aroca-Ouellette, Stephane T. Meng, Fanrui Nabi, Ivan Robert Hamarneh, Ghassan Simulated dataset that contains two types of simulated blobs that are generated with known classes. <p>(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.</p> classification;Caveolae;transcript release factor;molecule localization microscopy;3 D cluster;PC 3-PTRF cells;adaptor protein polymerase;PC 3 prostate cancer cells;scaffold;approach;method;caveolae;point clouds;10 PC 3;accuracy;Cav 1 proteins;plasma membrane invaginations;PointNet model;SMLM data;CAVIN;CNN;super-resolution microscopy images;molecule localization microscopy data 2019-08-26
    https://plos.figshare.com/articles/figure/Simulated_dataset_that_contains_two_types_of_simulated_blobs_that_are_generated_with_known_classes_/9731930
10.1371/journal.pone.0211659.g003