Data for: Binary Tree-like Network with Two-path Fusion Attention Feature for Cervical Cell Nucleus Segmentation

Published: 18 Apr 2019 | Version 1 | DOI: 10.17632/jks43dkjj7.1
Contributor(s):

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:

Binary tree-like network with two-path Fusion Attention Feature for cervical cell nucleus segmentation

Published in: Computers in Biology and Medicine

Latest version

  • Version 1

    2019-04-18

    Published: 2019-04-18

    DOI: 10.17632/jks43dkjj7.1

    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

Statistics

Views: 274
Downloads: 2

Categories

Medical Science, Computer Engineering

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

Report