8 datasets found

Multi-class cell segmentation in high-resolution Giga-pixel whole slide images (WSI) is critical for various clinical applications. Training such an AI model typically requires...

This dataset is used for multi-scale cell instance segmentation with keypoint graph based bounding boxes.

A cell tracking challenge dataset

The dataset used in the paper is a real-world dataset for testing the parametric efficiency of quadratic networks.

The dataset employed in this study were acquired in the BCS Lab and consists of microscope images of an experiment using a microfluidic device.

A dataset of specular microscopy images of the corneal endothelium for cell segmentation.

The Cell Tracking Challenge is a benchmark for cell tracking and segmentation. It consists of several datasets, including Fluo-N2DH-SIM+, DIC-C2DL-HeLa, PhC-C2DH-U373,...

The MoNuSeg dataset is published for the Multi-organ Nuclei Segmentation challenge in MICCAI 2018. The training dataset consists of 30 images generated from multiple organs...