需申請審核

TCGA-STAD

The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD) data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA). Clinical, genetic, and pathological data resides in the Genomic Data Commons (GDC) Data Portal while the radiological data is stored on The Cancer Imaging Archive (TCIA). Matched TCGA patient identifiers allow researchers to explore the TCGA/TCIA databases for correlations between tissue genotype, radiological phenotype and patient outcomes. Tissues for TCGA were collected from many sites all over the world in order to reach their accrual targets, usually around 500 specimens per cancer type. For this reason the image data sets are also extremely heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols. In most cases the images were acquired as part of routine care and not as part of a controlled research study or clinical trial.

CIP TCGA Radiology Initiative Imaging Source Site (ISS) Groups are being populated and governed by participants from institutions that have provided imaging data to the archive for a given cancer type. Modeled after TCGA analysis groups, ISS groups are given the opportunity to publish a marker paper for a given cancer type per the guidelines in the table above. This opportunity will generate increased participation in building these multi-institutional data sets as they become an open community resource. Learn more about the CIP TCGA Radiology Initiative.

資料與資源

額外的資訊

欄位
最後更新 十二月 3, 2019, 13:23 (CST)
建立 十月 15, 2018, 20:51 (CST)

推薦資料集:


  • 門診上呼吸道感染病人就診後未滿七日再次因同疾病就診率 (西醫基層總額指標)

    付費方式 免費
    更新頻率 不定期
    資料來源:保險醫事服務機構醫療服務點數申報資料。 分子:按院所、病人身份證號歸戶 ,計算因上呼吸道感染於同一院所,重複就診 2次(含)以上之人數。 分母:按院所、病人身份證號歸戶,計算院所上呼吸道感染人數。 計算公式:(分子/分母)x 100% 
  • 高雄市主要死亡原因標準化死亡率

    付費方式 免費
    更新頻率 不定期
    主要死亡原因標準化死亡率
  • AI CUP 2022農地作物現況調查影像辨識競賽-秋季賽_龍眼影像訓練資料集

    付費方式 免費
    更新頻率 不定期
    用於AI CUP 2022農地作物現況調查影像辨識競賽-秋季賽之訓練資料集,影像資訊來源為行政院農業委員會。
  • 高雄市110年湖內分局路口監視器

    付費方式 免費
    更新頻率 不定期
    110年高雄市湖內分局路口監視器
  • 作物水分管理-無人機影像

    付費方式 免費
    更新頻率 不定期
    2023 年第一期作於北溝農場不同田區拍攝的水稻無人機影像資料集 資料集概述 本資料集包含於 2023 年第一期作,在北溝實驗農場不同田區拍攝的無人機影像,主要記錄了不同水稻品種在生長發育時期的狀況。影像資料涵蓋了兩種不同的栽培方法,即正常栽培法與節水栽培法,以便分析不同栽培技術對水稻生長的影響。 資料集內容 拍攝地點:北溝實驗農場,不同田區。...