Segmented ICC Dataset in IHC-Stained Haemorrhoidal Disease Specimens

This dataset comprises 40 high-resolution histopathology image tiles obtained from anal canal wall specimens of patients with grade III and IV haemorrhoidal disease. Tissue sections were subjected to an immunohistochemical reaction for the detection of interstitial cells of Cajal (ICC) using an anti-CD117 (c-Kit) antibody. Each image tile, with a resolution of 2048 x 2048 pixels, is provided together with a corresponding segmentation mask that outlines the location and morphology of ICC. Key Specifications: Image Resolution: 2048 x 2048 pixels per tile; Number of Images: 40; Annotations: Segmentation masks. Fišere, I.; Edelmers, E.; Svirskis, Š.; Groma, V. Utilisation of Deep Neural Networks for Estimation of Cajal Cells in the Anal Canal Wall of Patients with Advanced Haemorrhoidal Disease Treated by LigaSure Surgery. Cells 2025, 14, 550. https://doi.org/10.3390/cells14070550本数据集包含40张高分辨率组织病理学图像块，采集自Ⅲ级和Ⅳ级痔病患者的肛管壁标本。对获取的组织切片实施免疫组化反应，采用抗CD117（c-Kit）抗体检测间质Cajal细胞（interstitial cells of Cajal, ICC）。每张图像块分辨率为2048×2048像素，均配有对应的分割掩码，用于勾勒间质Cajal细胞的位置与形态。 关键参数： 图像分辨率：单张图像块为2048×2048像素； 图像数量：40张； 标注类型：分割掩码。 引用文献： Fišere, I.; Edelmers, E.; Svirskis, Š.; Groma, V. 《应用深度神经网络评估经LigaSure手术治疗的Ⅲ、Ⅳ级重度痔病患者肛管壁内Cajal细胞》. Cells 2025, 14, 550. https://doi.org/10.3390/cells14070550