Data for: Binary Tree-like Network with Two-path Fusion Attention Feature for Cervical Cell Nucleus Segmentation
Description of this data
The images are based on Liquid-Based Cytology test from the pathology departments of a Chinese hospital and a biomedical device company. Under the guidance of a professional pathologist, we choose qualified images in numerous LCT cervical images. The dataset contains 104 images with size and each image has a ground truth that has been manually segmented by a professional pathologist.
Experiment data files
This data is associated with the following publication:
Cite this dataset
Zhang, Jianwei (2019), “Data for: Binary Tree-like Network with Two-path Fusion Attention Feature for Cervical Cell Nucleus Segmentation ”, Mendeley Data, v1 http://dx.doi.org/10.17632/jks43dkjj7.1
The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.