Hal1010/HROCT-Bench

--- pretty_name: HROCT-Bench task_categories: - image-segmentation license: other --- # HROCT-Bench ## Dataset Description **HROCT-Bench** is a hierarchical benchmark for retinal OCT layer segmentation under heterogeneous annotation granularities. It is designed to support research on cross-dataset, cross-granularity, and universal retinal layer segmentation. This public release contains the subsets of HROCT-Bench that can be redistributed openly. The currently included public datasets are: - **HC-MS** - **A2A-SDOCT** - **DUKE DME** - **DUKE AMD** - **HEG** - **OIMHS** In the full HROCT-Bench benchmark, we also use several additional datasets that are **not included in this release** due to restrictions imposed by the original dataset owners. These restricted datasets include: - **OCTA-500**: https://ieee-dataport.org/open-access/octa-500 - **GCN**: https://yuyeling.com/project/mgu-net/ - **GOALS**: https://aistudio.baidu.com/competition - **NR206**: https://github.com/Medical-Image-Analysis/NR206-Dataset/tree/main/dataset - **Harvard-EF30K**: https://github.com/osamakhaan/Harvard-EyeFairness For these restricted subsets, we provide the original access links above. Users should obtain the data directly from the original sources in accordance with their access policies. We also provide preprocessing scripts so that users can process the original data and obtain the preprocessed version used in our benchmark. This release is intended to facilitate open and reproducible research while respecting the data-sharing policies of the original dataset providers. ## License **License: other** The data released in this repository are curated and preprocessed from multiple publicly accessible source datasets. The use of each subset remains subject to the license terms, access conditions, and redistribution policies of the corresponding original dataset provider. Users are responsible for reviewing and complying with the original terms before downloading or using the data. For restricted subsets, we only provide the original access links and preprocessing scripts, and users must obtain the raw data directly from the original sources. This repository does **not** claim to relicense the underlying raw data beyond what is permitted by the original data providers.pretty_name: HROCT-Bench task_categories: - 图像分割 license: other # HROCT-Bench ## 数据集说明 **HROCT-Bench** 是面向异质标注粒度下视网膜光学相干断层扫描（Optical Coherence Tomography, OCT）层分割的分层基准测试集，旨在支持跨数据集、跨粒度以及通用视网膜层分割相关研究。 本次公开发布的内容为HROCT-Bench中可公开再分发的子集。当前纳入的公开数据集包括： - **HC-MS** - **A2A-SDOCT** - **DUKE 糖尿病性黄斑水肿（Diabetic Macular Edema, DME）** - **DUKE 年龄相关性黄斑变性（Age-related Macular Degeneration, AMD）** - **HEG** - **OIMHS** 在完整的HROCT-Bench基准测试集中，我们还使用了若干额外数据集，但由于原始数据集所有者施加的使用限制，**这些数据集未包含在本次发布中**。受限制的数据集包括： - **OCTA-500**：https://ieee-dataport.org/open-access/octa-500 - **GCN**：https://yuyeling.com/project/mgu-net/ - **GOALS**：https://aistudio.baidu.com/competition - **NR206**：https://github.com/Medical-Image-Analysis/NR206-Dataset/tree/main/dataset - **Harvard-EF30K**：https://github.com/osamakhaan/Harvard-EyeFairness 针对这些受限制的子集，我们仅提供上述原始访问链接。用户需遵循各数据集的访问政策，直接从原始来源获取数据。我们同时配套提供预处理脚本，以便用户可对原始数据进行处理，得到本基准测试集所使用的预处理版本。 本次发布旨在在尊重原始数据集提供者的数据共享政策的前提下，推动开放且可复现的研究工作。 ## 许可协议 **许可类型：other** 本仓库中发布的数据均从多个可公开获取的源数据集整理并预处理而来。每个子集的使用仍需遵守对应原始数据集提供者的许可条款、访问条件及再分发政策。 用户需在下载或使用数据前，自行审查并遵守原始条款。对于受限制的子集，我们仅提供原始访问链接与预处理脚本，用户必须直接从原始来源获取原始数据。 本仓库并未宣称可在原始数据提供者允许范围之外，对底层原始数据进行重新许可。