MICCAI-Tooth-Segmentation

MICCAI 2D CT 数据集 比赛数据 初赛 初赛训练集提供2000张牙齿全景图像、测试集500张。训练集包括原图以及对应的mask，测试集仅提供原图。 复赛 复赛共提供4000张牙齿图像，包含2000张有标签的牙齿图像（提供原图以及对应的mask）以及2000张无标签的牙齿全景图像。复赛的测试集包含1000张牙齿全景图像，只提供原图，不提供mask。

MICCAI 2D CT Challenge Dataset. Preliminary Round: The preliminary training set includes 2000 panoramic dental images, with a test set of 500 images. The training set provides both original images and their corresponding masks, while only the original images are provided for the test set. Final Round: A total of 4000 dental images are offered, including 2000 labeled dental images (with original images and their corresponding masks) and 2000 unlabeled panoramic dental images. The test set for the final round contains 1000 panoramic dental images, for which only the original images are provided without masks.

搜集汇总

背景与挑战

背景概述

MICCAI-Tooth-Segmentation是一个用于牙齿分割任务的2D CT数据集，源自MICCAI比赛。数据集包含初赛和复赛两个阶段，总计提供数千张牙齿全景图像，部分带有分割mask标签，用于训练深度学习模型或其他算法。任务目标是基于二维X光图像实现牙齿分割，评估指标包括Dice系数、IOU和豪斯多夫距离，适用于医学图像分析研究。