基于协议和解剖区域风险建模估算的CT扫描归因癌症发病数与死亡率（西澳大利亚，2010/11-2011/12）
基于CT扫描辐射剂量风险建模，估算2010/11-2011/12年西澳大利亚特定CT检查归因的癌症发病数与死亡率，数据以表格形式提供。
基本信息
资源简介
基于协议和解剖区域风险建模估算的CT扫描归因癌症发病数与死亡率（西澳大利亚，2010/11-2011/12）
【数据集背景】
本数据集源站标题为《Estimated number of incident cancers and cancer related mortality attributable to selected CT scanning undertaken in WA during 2010/11 and 2011/12 using protocol and anatomical area based risk modelling.》。配套论文《Demonstration of the Effect of Generic Anatomical Divisions versus Clinical Protocols on Computed Tomography Dose Estimates and Risk Burden》发表于 PLoS ONE（2014），DOI：10.1371/journal.pone.0097691。源站首次发布：2014-05-30。
【数据内容】
源站原始描述：n = Number of estimated incident cancers/cancer related mortality based on cancer risk modelling from the mean radiation dose of the cases collected in protocols included in the study. 1number based on the minimum dose protocol within the anatomical area. 2number based on the maximum dose the protocol within the anatomical area. 3Range = number based on the maximum dose protocol - number based on the minimum dose protocol. 4Spiral angiography also included within each anatomical location for the…
【数据结构与技术规格】
文件数 1 个，合计 13.82 KB。Table_2.xls：application/vnd.ms-excel，13.82 KB。数据集 DOI：10.1371/journal.pone.0097691.t002。
【主题与分类】
源站学科分类：Biological Sciences。主题标签：biophysics、Radiation biophysics、Diagnostic medicine、Diagnostic radiology、tomography、Computed axial tomography、Medical physics、Radiology and imaging、Radiation effects、Radiation exposure。
【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/_Estimated_number_of_incident_cancers_and_cancer_related_mortality_attributable_to_selected_CT_scanning_undertaken_in_WA_during_2010_11_and_2011_12_using_protocol_and_anatomical_area_based_risk_modelling_/1041095
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：E. Moorin, Rachael; A. J. Gibson, David; K. Forsyth, Rene; Fox, Richard (2015). Estimated number of incident cancers and cancer related mortality attributable to selected CT scanning undertaken in WA during 2010/11 and 2011/12 using protocol and anatomical area based risk modelling.. PLOS ONE. Datas…
【使用注意】
· 源站最后修改于 2023-05-31，引用时请注意版本时效。
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。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放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。
使用方式
数据集获取（Figshare）
- 源站标题：Estimated number of incident cancers and cancer related mortality attributable to selected CT scanning undertaken in WA during 2010/11 and 2011/12 using protocol and anatomical area based risk modelling.
- DOI：10.1371/journal.pone.0097691.t002
- 发布日期：2014-05-30
- 文件数：1 个
- 文件总体积：13.82 KB
- 源站页面：https://plos.figshare.com/articles/dataset/_Estimated_number_of_incident_cancers_and_cancer_related_mortality_attributable_to_selected_CT_scanning_undertaken_in_WA_during_2010_11_and_2011_12_using_protocol_and_anatomical_area_based_risk_modelling_/1041095
命令行下载
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/1515138"
文件清单
Table_2.xls（13.82 KB）
文件总体积 13.82 KB（源站 API 实测）。
数据加载示例（图像类）
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
n = Number of estimated incident cancers/cancer related mortality based on cancer risk modelling from the mean radiation dose of the cases collected in protocols included in the study.
1number based on the minimum dose protocol within the anatomical area.
2number based on the maximum dose the protocol within the anatomical area.
3Range = number based on the maximum dose protocol - number based on the minimum dose protocol.
4Spiral angiography also included within each anatomical location for the public providers. Note separation of spiral angiography codes are not available for private providers except coronary angiography and hence is excluded.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0097691.t002（source: https://plos.figshare.com/articles/dataset/_Estimated_number_of_incident_cancers_and_cancer_related_mortality_attributable_to_selected_CT_scanning_undertaken_in_WA_during_2010_11_and_2011_12_using_protocol_and_anatomical_area_based_risk_modelling_/1041095）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务？立即联系我们获取专业方案。
