| 标题 |
 A method of nucleus image segmentation and counting based on TC-UNet++ and distance watershed 一种基于TC-UNet++和距离分水岭的细胞核图像分割与计数方法
相关领域
分水岭
分割
核心
图像分割
计算机视觉
图像（数学）
人工智能
计算机科学
生物
神经科学
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| DOI |
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| 其它 |
Abstract Nucleus segmentation and counting play a crucial role in many cell analysis applications. However, the dense distribution and blurry boundaries of nucleus make nucleus segmentation tasks challenging. This paper proposes a novel segmentation and counting method. Firstly, TC-UNet++ is proposed to achieve a global segmentation. Then, the distance watershed method is used to finish local segmentation, which separate the adhesion and overlap part of the image. Finally, counting method is performed to obtain information on the counting number, area and center of mass of nucleus. TC-UNet++ achieved a Dice coefficient of 89.95% for cell instance segmentation on the Data Science Bowl dataset, surpassing the original U-Net++ by 0.23% |
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(2025-6-4)
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