Advanced Deep Learning Techniques for Automated Cell Nuclei Segmentation in Biomedical Images
收藏DataCite Commons2025-12-31 更新2025-04-16 收录
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https://uj.rodbuk.pl/citation?persistentId=doi:10.57903/UJ/ID54W4
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资源简介：
This dataset includes the U-Net architecture algorithm along with sample data files, which contain both the microscopic images used for analysis and their corresponding masked images. The algorithm was developed and trained using Python, enhancing its ability to perform precise segmentation in biomedical imaging applications.
提供机构：
Jagiellonian University in Kraków
创建时间：
2024-10-21
