2018 Data Science Bowl (2018 Data Science Bowl Find the nuclei in divergent images to advance medical discovery)

斑点核。速度治愈。
想象一下，加快对几乎所有疾病的研究，从肺癌和心脏病到罕见疾病。2018数据科学碗提供了我们迄今为止最雄心勃勃的使命: 创建一种算法来自动化细胞核检测。
我们都看到人们患有癌症，心脏病，慢性阻塞性肺疾病，阿尔茨海默氏症和糖尿病等疾病。许多人看到他们所爱的人去世了。想想如果治疗得更快，会有多少人改变。
通过自动检测细胞核，您可以帮助更快地解锁治疗方法-从罕见疾病到普通感冒。想要一个关于2018数据科学碗的快照？观看此视频。
为什么是原子核？
识别细胞的细胞核是大多数分析的起点，因为人体的大多数30万亿细胞都包含一个充满DNA的细胞核，DNA是对每个细胞进行编程的遗传密码。识别细胞核使研究人员能够识别样品中的每个细胞，并通过测量细胞对各种治疗的反应，研究人员可以了解工作中的潜在生物学过程。
通过参与，团队将致力于使识别细胞核的过程自动化，这将允许更有效的药物测试，从而缩短每种新药上市所需的10年时间。查看此视频概述以了解更多信息。
参与者将做什么？
团队将创建一个计算机模型，该模型可以识别各种条件下的一系列核。通过观察模式，提出问题并建立模型，参与者将有机会进一步推动最先进的技术。
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Spot Nuclei. Speed Cures.
Imagine accelerating research for nearly every disease, from lung cancer and heart disease to rare disorders. The 2018 Data Science Bowl presents our most ambitious mission yet: create an algorithm to automate nucleus detection.
We have all witnessed people suffering from diseases such as cancer, heart disease, chronic obstructive pulmonary disease, Alzheimer's, and diabetes. Many have lost loved ones. Imagine how many lives could be changed if treatments were developed faster.
By automating nucleus detection, you can help unlock cures faster—from rare disorders to the common cold. Want a snapshot of the 2018 Data Science Bowl? Watch this video.
Why Nuclei?
Identifying the nucleus of a cell is the starting point for most analytical workflows, as the majority of the 30 trillion cells in the human body harbor a nucleus filled with DNA—the genetic code that programs every individual cell. Identifying nuclei allows researchers to pinpoint every cell in a sample, and by measuring cellular responses to various treatments, researchers can uncover the underlying biological processes at work.
By participating, teams will work to automate the process of nucleus detection, enabling more efficient drug testing and cutting the 10-year timeline required to bring each new medication to market. Watch this video overview for more details.
What Will Participants Do?
Teams will develop computational models that can identify a range of nuclei across diverse conditions. By observing patterns, posing questions, and building models, participants will have the opportunity to advance the state of the art in this field.
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搜集汇总

背景与挑战

背景概述

2018 Data Science Bowl数据集旨在通过自动化细胞核检测算法加速医学研究，包含32.3k个数据点，大小为365.7MB，主要用于促进药物测试和疾病研究。