概览
这场竞赛适合谁
希望参加真实平台竞赛,并能阅读规则、运行基础方案和完成提交的学习者。
查看官方简介原文
Tuberculosis (TB) is a leading infectious disease affecting the lungs. Clinicians often use chest X-rays to support diagnosis, but reviewing many images manually is time-consuming and challenging. In this competition, you’ll build a simple classifier to distinguish between healthy lungs and lungs affected by TB, focusing on your process, decisions, and learnings rather than perfection. Train a model that classifies chest X-rays into Healthy vs TB cases. Scoring notes: This competition will not be judged. Use this opportunity to apply your conceptual and machine learning skills, and compare your work with your peers after the competition ends! Once the competition concludes, you'll have the opportunity to view and vote for the best submissions.
参赛准备
从报名到首次提交的准备步骤
- 01
能够读懂官方赛题与参赛规则
- 02
能够运行基础方案并完成一次有效提交
- 03
能够运行基础方案并完成一次有效提交
投入前确认:真正的难点在于理解官方赛题、确认参赛资格,并在有限时间内完成验证和提交。
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