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

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doi.org2025-03-26 收录
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http://doi.org/10.17632/jks43dkjj7.1
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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.

本数据集源自我国一家医院病理科及生物医学设备公司的基于液体细胞学检测(Liquid-Based Cytology test,简称LCT)的图像。在专业病理学家的指导下,我们从大量LCT宫颈图像中精选出合格图像。该数据集包含104张图像,每张图像均由专业病理学家进行人工分割,并标注了真实标签。
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