MICCAI 2018 计算精准医学挑战赛：头颈癌18F-FDG PET影像组学风险分层
头颈癌（口咽癌）18F-FDG PET影像组学特征与临床数据，用于预测放疗后局部控制。
基本信息
资源简介
MICCAI 2018 计算精准医学挑战赛：头颈癌18F-FDG PET影像组学风险分层
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集，收录 14 个文件、合计 1.18 GB，主题涵盖 Radiomics、Grand challenges、MICCAI challenge、Precision Medicine、18FDG-PET/CT，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《MICCAI 2018 – Computational Precision Medicine Challenge: 18F-FDG PET Radiomics Risk Stratifiers in Head and Neck Cancer》。项目资助方：QuBBD: Precision E –Radiomics for Dynamic Big Head & Neck Cancer Data。源站首次发布：2022-03-08。
【数据内容】
源站原始描述：The Computational Precision Medicine (CPM) 2018 was held on September 16, in Granada (Spain), in conjunction with MICCAI 2018. As part of the CPM program, a series of imaging Grand Challenges were offered, hosted by kaggle. This competition, "18F-FDG PET Radiomics Risk Stratifiers in Head and Neck Cancer", was organized as a Medical Image Computing and Computer Assisted Intervention (MICCAI) Computational Precision Medicine (CPM) grand challenge. Contestants were tasked to predict, using primary…
【数据结构与技术规格】
文件数 14 个，合计 1.18 GB。MICCAI H&N radiomics challenge workflow.png：image/png，198.84 KB。CPM Challenge Overview.rtfd.zip：application/zip，3.08 KB。CPM Challenge Intro, Rules, and Conditions.rtf：text/rtf，7.22 KB。数据集 DOI：10.6084/m9.figshare.15075195.v2。
【主题与分类】
源站学科分类：Radiation therapy、Cancer therapy (excl. chemotherapy and radiation therapy)、Radiology and organ imaging、Image processing、Artificial intelligence not elsewhere classified。主题标签：Radiomics、Grand challenges、MICCAI challenge、Precision Medicine、18FDG-PET/CT、Head and neck tumors、head and neck cancers、Squamous Cell Cancers、prediction algorithm、artificial intelligence models。
【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://figshare.com/articles/dataset/MICCAI_2018_Computational_Precision_Medicine_Challenge_18F-FDG_PET_Radiomics_Risk_Stratifiers_in_Head_and_Neck_Cancer/15075195
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Fuller, Clifton D.; Elhalawani, Hesham; Mohamed, Abdallah (2021). MICCAI 2018 – Computational Precision Medicine Challenge: 18F-FDG PET Radiomics Risk Stratifiers in Head and Neck Cancer. figshare. Dataset
【使用注意】
· 源站最后修改于 2023-05-30，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：MICCAI 2018 – Computational Precision Medicine Challenge: 18F-FDG PET Radiomics Risk Stratifiers in Head and Neck Cancer
- DOI：10.6084/m9.figshare.15075195.v2
- 发布日期：2022-03-08
- 文件数：14 个
- 文件总体积：1.18 GB
- 源站页面：https://figshare.com/articles/dataset/MICCAI_2018_Computational_Precision_Medicine_Challenge_18F-FDG_PET_Radiomics_Risk_Stratifiers_in_Head_and_Neck_Cancer/15075195
命令行下载
curl -L -o "MICCAI H&N radiomics challenge workflow.png" "https://ndownloader.figshare.com/files/28988754"
curl -L -o "CPM Challenge Overview.rtfd.zip" "https://ndownloader.figshare.com/files/28988739"
curl -L -o "CPM Challenge Intro, Rules, and Conditions.rtf" "https://ndownloader.figshare.com/files/28988733"
curl -L -o "CPM Challenge Data Description.rtf" "https://ndownloader.figshare.com/files/28988736"
curl -L -o "CPM Challenge Rules.rtf" "https://ndownloader.figshare.com/files/28988742"
curl -L -o "ReadMe.csv" "https://ndownloader.figshare.com/files/28988760"
curl -L -o "Sample_valid_submission.csv" "https://ndownloader.figshare.com/files/28988769"
curl -L -o "Sample_valid_submission.xlsx" "https://ndownloader.figshare.com/files/28988766"
文件清单
MICCAI H&N radiomics challenge workflow.png（198.84 KB）CPM Challenge Overview.rtfd.zip（3.08 KB）CPM Challenge Intro, Rules, and Conditions.rtf（7.22 KB）CPM Challenge Data Description.rtf（4.69 KB）CPM Challenge Rules.rtf（1.53 KB）ReadMe.csv（1.70 KB）Sample_valid_submission.csv（2.75 KB）Sample_valid_submission.xlsx（6.19 KB）Test.csv（7.13 KB）Test.rar（409.48 MB）Test.zip（455.76 MB）Training.csv（7.25 KB）Training.zip（318.02 MB）MICCAI 2018 – Computational Precision Medicine - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki.pdf（301.29 KB）
文件总体积 1.18 GB（源站 API 实测）。
数据说明
The Computational Precision Medicine (CPM) 2018 was held on September 16, in Granada (Spain), in conjunction with MICCAI 2018. As part of the CPM program, a series of imaging Grand Challenges were offered, hosted by kaggle.
This competition, “18F-FDG PET Radiomics Risk Stratifiers in Head and Neck Cancer”, was organized as a Medical Image Computing and Computer Assisted Intervention (MICCAI) Computational Precision Medicine (CPM) grand challenge. Contestants were
tasked to predict, using primary tumor 18F-FDG PET-derived radiomics features +/- matched clinical data, whether a tumor arising from the oropharynx will be controlled by definitive radiation treatment (RT). The head and neck radiation oncology team from University of Texas MD Anderson Cancer Center (MDACC) have curated and harmonized a multi-institutional dataset of 248 oropharynx cancer (OPC) patients, using our in-house ‘‘LAMBDA-RAD’’ data management platform. Scans came from six different institutes from: the US (MDACC), Canada [four different clinical institutions in Québec: Hôpital Général Juif de Montréal (HGJ), Centre Hospitalier Universitaire de Sherbrooke (CHUS), Centre Hopitalier de l’'Université de Montréal (CHUM) and Hôpital Maisonneuve-Rosemont de Montréal (HMR)], and Europe (MAASTRO Clinic, The Netherlands).
The challenge was open from June 15, 2018, 11:59 p.m. to
Aug. 30, 2018, midnight UT; this repository serves as FAIR (re)use durable repository for challenge data.
Details on the 2018 CPM Challenges can be found at: https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=37224869
The “18F-FDG PET Radiomics Risk Stratifiers in Head and Neck Cancer” challenge website (archived) can be viewed at: https://web.archive.org/web/20190106050801/http://miccai.cloudapp.net/competitions/77
and at: https://web.archive.org/web/20210418000112/https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=37224869
The kaggle-in-class host page for the challenge and results can be found at: https://www.kaggle.com/c/pet-radiomics-challenges.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.15075195.v2（source: https://figshare.com/articles/dataset/MICCAI_2018_Computational_Precision_Medicine_Challenge_18F-FDG_PET_Radiomics_Risk_Stratifiers_in_Head_and_Neck_Cancer/15075195）。
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。
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