/COVID-19_CLS

Covid-19 Classification

Primary LanguageJupyter Notebook

COVID-19_CLS

Covid-19 Classification

背景

冠状病毒属于套式病毒目、冠状病毒科、冠状病毒属,是一类具有囊膜、基因组为线性单股正链的RNA病毒,是自然界广泛存在的一大类病毒。某些冠状病毒会感染人类并引起疾病,比如中东呼吸综合征(MERS)和严重急性呼吸综合征(SARS),其症状可从普通感冒到重症肺部感染。

2019年12月在武汉首先发现的冠状病毒是一种先前尚未在人类中发现的病毒株系,被WHO命名为2019新型冠状病毒“2019-nCoV”(2019 novel Coronavirus)。2020年2月11日,该病毒被国际病毒分类委员会(the International Committee on Taxonomy of Viruses)冠状病毒研究小组(Coronavirus Study Group,CSG)命名为“SARS-CoV-2”(Severe Acute Respiratory Syndrome Coronavirus 2),同时,由该病毒感染引起的疾病被WHO命名为“COVID-19”(Corona Virus Disease 2019)。

任务

  • 基于CT影像,对新冠肺炎COVID-19实现快速、准确的分类诊断
  • 结合图像特征以及结构化数据特征,进行诊断量化分析,如特征关联性度量

数据集来源

Dataset of the CT images and metadata are constructed from cohorts from the China Consortium of Chest CT Image Investigation (CC-CCII). All CT images are classified into novel coronavirus pneumonia (NCP) due to SARS-CoV-2 virus infection, common pneumonia and normal controls. This dataset is available globally with the aim to assist the clinicians and researchers to combat the COVID-19 pandemic.

数据集由**国家生物信息中心(China National Center for Bioinformation,CNCB)发布,由**胸部CT图像研究协会(CC-CCII)提供。

数据下载链接

版权

Cite-1:

Kang Zhang, Xiaohong Liu, Jun Shen, et al. Jianxing He, Tianxin Lin, Weimin Li, Guangyu Wang. (2020). Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements and Prognosis of COVID-19 Pneumonia Using Computed Tomography.

Cell, DOI: 10.1016/j.cell.2020.04.045 论文下载链接

Cite-2:

Zhao WM, Song SH, Chen ML, et al. The 2019 novel coronavirus resource. Yi Chuan. 2020;42(2):212–221. doi:10.16288/j.yczz.20-030 [PMID: 32102777]