…For more details, please refer to ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentation.
1 PAPER • NO BENCHMARKS YET
An instance segmentation dataset of yeast cells in microstructures. The dataset includes 493 densely annotated microscopy images. For more information see the paper "An Instance Segmentation Dataset of Yeast Cells in Microstructures".
NucMM is a dataset for segmenting 3D cell nuclei from microscopy image volumes that pushes the task forward to the sub-cubic millimeter scale.
5 PAPERS • NO BENCHMARKS YET
The platelet-em dataset contains two 3D scanning electron microscope (EM) images of human platelets, as well as instance and semantic segmentations of those two image volumes.
2 PAPERS • 2 BENCHMARKS
…Possible applications include but are not limited to semantic segmentation, object detection and object counting. The corresponding ground-truth labels were generated through a hybrid approach involving semi-automatic and manual semantic segmentation.
2 PAPERS • NO BENCHMARKS YET
…It consists of 29 time-lapse image sequences with various annotations (pixel-wise segmentation masks, object-wise bounding boxes, and tracking information), made publicly available to the scientific community
0 PAPER • NO BENCHMARKS YET
The LIVECell (Label-free In Vitro image Examples of Cells) dataset is a large-scale microscopic image dataset for instance-segmentation of individual cells in 2D cell cultures.
14 PAPERS • 1 BENCHMARK
…The presented work aims to study the potential of automated ventricular dimension estimation through heart segmentation in medaka.
…The code for stain translation is available at https://github.com/nadeemlab/DeepLIIF and the code for performing interactive deep learning whole-cell/nuclear segmentation is available at https://github.com