Beginner score
78/100
Competition workspace
适合已有飞桨端到端建模经验，并能处理2D眼底彩照与3D OCT体数据的医学图像开发者。也适合想练习多模态青光眼分级、且能以个人身份参赛的学习者。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
78/100
Learning value
72/100
Estimated effort
4-12 hours
Metric
Official scoring is published on the Ba…
适合已有飞桨端到端建模经验，并能处理2D眼底彩照与3D OCT体数据的医学图像开发者。也适合想练习多模态青光眼分级、且能以个人身份参赛的学习者。
Taken from the competition's official page.
200 paired 2D fundus and 3D OCT images, with 100 training and 100 test pairs.
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddlePaddle 2.0+
眼底彩照处理
3D OCT体数据处理
多模态深度学习
小样本学习
医学图像分类
The real friction is usually not library usage. It is validation, time allocation, and task framing.
核心难点是在训练数据对较少的条件下，联合利用2D与3D两种临床影像完成三分类分级，而“无青光眼”类别仍包含其他眼科疾病，并非普通正常样本。提交时还需同时提交预测结果和原始代码，且模型必须使用PaddlePaddle 2.0及以上版本。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
A simple framework for choosing a competition that teaches instead of overwhelming you.
How to Choose Your First AI CompetitionUse these fields to make a quick decision before you dive deeper.
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