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

Published: 18-04-2019| Version 1 | DOI: 10.17632/jks43dkjj7.1
Contributor:
Jianwei Zhang

Description

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.

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