Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-CD235a (red blood cells)
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<strong>LICENSE</strong> This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (<strong>CC-BY-NC-SA 4.0</strong>) For non-commercial use, please use the dataset under CC-BY-NC-SA.<br> If you would like to use the dataset for commercial purposes, please contact us (ishum-prm@m.u-tokyo.ac.jp). A Tar.gz file contains the following files: - HE image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png - Mask image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png Each image file is 984x984 px. posX and posY are the leftmost position in WSI coordinate. Mask files store binary segmentation mask (background : 0, target : 1) A csv file contains the following information: antigen : Antibodies for this antigen were used to create the segmentation mask. filename: filename of image or mask file. train_val_test : train, validation, or test sample in the paper. <strong>Citation</strong> If you use this dataset for your research, please cite our paper. Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br> Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.
<strong>许可证</strong> 本作品采用知识共享署名-非商业性使用-相同方式共享4.0国际许可协议(CC-BY-NC-SA 4.0)进行许可。非商业性使用请遵循CC-BY-NC-SA协议使用本数据集;若需将本数据集用于商业用途,请联系我们(ishum-prm@m.u-tokyo.ac.jp)。<br>一个Tar.gz压缩包包含以下文件:<br>- 苏木精-伊红(Hematoxylin-Eosin, HE)图像文件:{antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png<br>- 掩码图像文件:{antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png<br>所有图像文件的分辨率均为984×984像素。posX与posY为全切片图像(Whole Slide Image, WSI)坐标中的最左侧位置。掩码文件存储二值分割掩码(背景:0,目标区域:1)。<br><br>一个CSV文件包含以下信息:<br>antigen:用于生成该分割掩码的抗体所靶向的抗原。<br>filename:图像或掩码文件的文件名。<br>train_val_test:本文研究中对应的训练集、验证集或测试集样本。<br><br><strong>引用说明</strong> 若您将本数据集用于研究工作,请引用以下论文:<br>Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br>《基于复染的癌症组织学分割标注以克服病理学家间的标注差异》,《Patterns》,第4卷第2期,2023年,100688页,https://doi.org/10.1016/j.patter.2023.100688。



