HISTAI-hematologic

Dear researchers and engineers, you're accessing a dataset that would cost millions of dollars to build and took millions of nerves to negotiate favorable terms for its use. Your support, by liking the repositories and upvoting the collection, costs nothing but gives us valuable motivation to continue our contributions to the community. We reserve the right not to approve the request if you don't support our efforts. Thank you very much for collaboration! # HISTAI Dataset Find more information and metadata at [histai/HISTAI-metadata](https://huggingface.co/datasets/histai/HISTAI-metadata). ## 📄 Paper and Citation A detailed research paper describing the HISTAI dataset is available: Dmitry Nechaev, Alexey Pchelnikov, Ekaterina Ivanova [📖 Read on arXiv](https://arxiv.org/abs/2505.12120) ### 📚 Citation If you use HISTAI in your research, please cite: ```bibtex @misc{nechaev2025histaiopensourcelargescaleslide, title = {HISTAI: An Open-Source, Large-Scale Whole Slide Image Dataset for Computational Pathology}, author = {Dmitry Nechaev and Alexey Pchelnikov and Ekaterina Ivanova}, year = {2025}, eprint = {2505.12120}, archivePrefix = {arXiv}, primaryClass = {eess.IV}, url = {https://arxiv.org/abs/2505.12120} }尊敬的科研人员与工程师们：您正在访问的数据集，其构建成本高达数百万美元，且为争取其使用的优惠条款耗费了大量心血。您仅需点赞该仓库与收藏集，就能为我们提供宝贵的动力，继续为社区贡献力量，且此举无需任何成本。若您未支持我们的工作，我们有权拒绝您的使用请求。非常感谢您的合作！ # HISTAI数据集 更多信息与元数据请访问 [histai/HISTAI-metadata](https://huggingface.co/datasets/histai/HISTAI-metadata)。 ## 📄 论文与引用 详细介绍HISTAI数据集的研究论文现已发布： Dmitry Nechaev、Alexey Pchelnikov、Ekaterina Ivanova [📖 在arXiv上阅读](https://arxiv.org/abs/2505.12120) ### 📚 引用规范 若您在研究中使用HISTAI数据集——一款面向计算病理学的开源大规模全视野数字切片（Whole Slide Image）数据集，请按以下格式引用： bibtex @misc{nechaev2025histaiopensourcelargescaleslide, title = {HISTAI: An Open-Source, Large-Scale Whole Slide Image Dataset for Computational Pathology}, author = {Dmitry Nechaev and Alexey Pchelnikov and Ekaterina Ivanova}, year = {2025}, eprint = {2505.12120}, archivePrefix = {arXiv}, primaryClass = {eess.IV}, url = {https://arxiv.org/abs/2505.12120} }

搜集汇总

背景与挑战

背景概述

HISTAI-hematologic是一个用于计算病理学的大规模开源全切片图像数据集，构建成本高昂且获取过程复杂。该数据集附有详细的研究论文，并要求使用者在研究中引用相关文献。