Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
当代医学诊断实践中，超声成像技术凭借其非侵入性、无放射性、成本效益高及实时性等显著特点，已广泛成为各类医疗场景中不可或缺的诊断工具。该技术通过发射高频声波并捕捉其回波信号，构建出人体内部结构的精确图像/视频，从而为临床医生提供了关于器官、组织和血管系统的详尽信息。 尽管如此，超声成像的数据解析与分析过程往往高度依赖于专业医生的主观判断和个人经验，这种依… Official track: 计算机视觉. Sponsor: 安徽大学、安徽建筑大学、安徽理工大学医学院、武汉市第三人民医院. Teams entered: 151.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic computer-vision experience
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Aug 19, 2024