Rules


1.1 Participation
(1) Team account. Open registration to universities, research institutes, companies and individuals. Sign up your team information and accept challenge rules. One account per participant. There is no maximum team size. However, anonymous registrations and/or incomplete registrations are not accepted. After your account activated, you can access data and other materials within this challenge website.
(2) Code honor. It is not permitted to share algorithms, codes and data with other teams. It is 
mandatory to have a proper citation if you use open-source code/algorithms.
(3) Use of external data. For this challenge, it is open to use any data outside this challenge. Please indicate the data source if you do so.
(4) Copyright of submisson. Once you
submit results and technical reports/papers, you grant us permission to evaluate and publish your results and papers, which will be publicly avaiable on the leaderboard of challenge website.
(5) Workshop. Participants who want attend onsite competition (final competition) must have invitation letter from organizer group. There is no fee to join challenge.


1.2 Data
(1) Data Usage. All the released images and annotations of this challenge is only for educational and research purposes. It can be used for challenge participants without any charge. The dataset will be public available after the challenge. However, any commercial use of the data, for example, developing a commertial image analysis method based on this dataset, is not allowed.
(2) Data Redistribution. Redistribe the original dataset and/or with any modications of the dataset is prohibited. The redistribution right is reserved at data provider, Shanggong Medical Technology Co., Ltd.
(3) Data Citation. We request you to cite this challenge website, database or p
ost-challenge publication if you use this database reporting results in your scientific works (articles, conference papers, posters, thesis, reports, etc.). Any feedback on the database is welcome. The person to contact is Hong Kang (kanghong@sgex.cn).


1.3 Submissions
(1) Submission format. Please read and follow submission instruction (see details in Task webpage).
(2) Submission enteries. You may submit a maximum of 3 entries per day. 
(3) Detailed report. It is mandatory to submit a short report (2-4 pages) to explain your method and results briefly (better in Elsevier conference paper
format) in English or Chinese if you would like attend on-site competition. It is not mandatory to share your developed codes, whereas it is strongly recommended.  


1.4 Miscellaneous
(1) Ownership of algorithms. Participants have full ownership of their algorithms. Participants are responsible for any improper usage of someone else's algorithm.
(2) Determing winners. We will score and rank submissions according to evaluation metrics. All the scores and ranks will be displayed publicly on the website leaderboard. Top-performing off-site participating teams will be invited to attened on-site competition (final competition) and workshop. The final winners are based on the perfomance of on-site competition.
  




1.1 参与

(1)团队账户。面向全社会开放,高等院校、科研单位、公司、个人等均可报名参赛。注册您的团队信息并接受竞赛规则。每位参与者一个帐户。没有最大团队规模的限制。但是,不接受匿名注册和/或不完整注册。激活帐户后,您就可以访问网站中的数据集和其他资料。

(2)代码。不允许与其他团队共享算法,代码和数据。如果您使用开源代码/算法,必须有适当的引用。

(3)外部数据的使用对于此竞赛中,您可以使用竞赛之外的任何数据。 如果您这样做,请指出外部数据的来源。

(4)提交人的版权。提交结果和技术报告/论文后,您授予我们评估和发布结果和文章的权限,这些内容将在竞赛网站的排行榜上公开获得。

(5)研讨会。想参加现场竞赛(决赛)的参赛者必须收到组织团队的邀请函。加入竞赛不收取费用。


1.2 数据

(1)数据使用。此挑战中发布的所有图像和注释仅用于教育和研究目的。竞赛参与者可以毫无费用地使用。竞赛结束后,数据集将可公开获取。但是,不允许对数据进行任何商业用途,例如,开发基于该数据集的图像分析方法。

(2)数据再发布。禁止重新发布原始数据集和/或经过任何修改后的数据集。再发布权由数据集的提供商上工医疗科技有限公司保留。

(3)数据引用。如果您在科学作品(期刊文章,会议论文,海报,毕业论文,报告等)中使用此数据集报告结果,我们建议您引用此竞赛网站,数据库或竞赛后的出版物。欢迎任何有关此数据集的反馈。联系人是康宏(kanghong@sgex.cn)。


1.3 提交

(1)提交格式。请阅读并遵循的提交说明(请参阅任务网页中的详细信息)。

(2)提交次数。您每天最多可提交3个竞赛结果。

(3)提交报告。如果您想参加现场比赛,您需要提交一份简短的报告(2-4页),用英语或者中文简要介绍您的方法和结果(Elsevier会议论文格式更好)。分享您开发的代码并非强制性要求,但是强烈建议分享。


1.4 其他事项

(1)算法的所有权。参与者拥有其算法的完全所有权。任何不正当使用别人的算法由参与者承担后果。

(2)确定获胜者。我们将根据评估指标对提交结果进行评分和排名。所有分数和排名将在网站竞赛排行榜上公开展示。我们将邀请表现优异的参赛队伍参加现场比赛(决赛)和研讨会。最终的获奖者根据现场比赛的表现进行筛选。