数据集类别分布

该数据集包含10种眼部疾病的样本数量分布,涵盖翼状胬肉和糖尿病视网膜病变等。

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表格tailored software lensroutine care settingsnovel architecture achievesdespite notable advancescurrently broadest peer52 %outperformingcomprising nine diseasesretinal fundus imagesmethodologically rigorous classificationeye diseases basedleverages specific featureshigh performance level
Class distribution of the dataset. Each line lists the abbreviation, full disease name, and number of samples. The dataset covers 10 categories with varying representation. It ranges from rare cases such as Pterygium (102 samples) to highly represented classes such as Diabetic Retinopathy (3,444 samples).

基本信息

模态
表格
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

数据集类别分布

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 5.63 KB,主题涵盖 tailored software lens、routine care settings、novel architecture achieves、despite notable advances、currently broadest peer,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Class distribution of the dataset. Each line lists the abbreviation, full disease name, and number of samples. The dataset covers 10 categories with varying representation. It ranges from rare cases such as Pterygium (102 samples) to highly represented classes such as Diabetic Retinopathy (3,444 samples).》。源站首次发布:2025-11-06。

【数据内容】

源站原始描述:Class distribution of the dataset. Each line lists the abbreviation, full disease name, and number of samples. The dataset covers 10 categories with varying representation. It ranges from rare cases such as Pterygium (102 samples) to highly represented classes such as Diabetic Retinopathy (3,444 samples)

中文译文(机器翻译,仅供快速理解,请以原文为准):数据集的类别分布。每行列出缩写、疾病全称和样本数量。该数据集涵盖10个类别,各类别的样本量各不相同。其范围从Pterygium(翼状胬肉,102个样本)等罕见病例,到Diabetic Retinopathy(糖尿病视网膜病变,3,444个样本)等高代表性类别。

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 3.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0335419.t003。

【主题与分类】

源站学科分类:Medicine、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified。主题标签:tailored software lens、routine care settings、novel architecture achieves、despite notable advances、currently broadest peer、52 %, outperforming、comprising nine diseases、retinal fundus images、methodologically rigorous classification、eye diseases based。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Class_distribution_of_the_dataset_Each_line_lists_the_abbreviation_full_disease_name_and_number_of_samples_The_dataset_covers_10_categories_with_varying_representation_It_ranges_from_rare_cases_such_as_i_Pterygium_i_102_samples_to_highly_re/30558787

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Rieck, Celina; Eisentraut, Luca; Buettner, Ricardo (2025). Class distribution of the dataset. Each line lists the abbreviation, full disease name, and number of samples. The dataset covers 10 categories with varying representation. It ranges from rare cases such as Pterygium (102 samples) to highly…

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/59367535"

文件清单

  • Table 3.xls(5.63 KB)

文件总体积 5.63 KB(源站 API 实测)。

数据说明

Class distribution of the dataset. Each line lists the abbreviation, full disease name, and number of samples. The dataset covers 10 categories with varying representation. It ranges from rare cases such as Pterygium (102 samples) to highly represented classes such as Diabetic Retinopathy (3,444 samples).

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0335419.t003(source: https://plos.figshare.com/articles/dataset/Class_distribution_of_the_dataset_Each_line_lists_the_abbreviation_full_disease_name_and_number_of_samples_The_dataset_covers_10_categories_with_varying_representation_It_ranges_from_rare_cases_such_as_i_Pterygium_i_102_samples_to_highly_re/30558787)。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。