Harvard-FairSeg数据集是由哈佛大学眼科人工智能实验室创建的大规模医学图像分割数据集，专注于公平性学习。该数据集包含10,000个样本，涵盖了年龄、性别、种族、民族、首选语言和婚姻状况等六种敏感属性，旨在通过Segment Anything Model (SAM) 和公平误差边界缩放方法，提高不同身份群体的分割性能公平性。数据集的应用领域主要集中在提高医学图像分割的公平性，特别是在诊断
The original resolution of in total 40 images is 2048x1536 divided into three datasets (images in set I: 20x, set II: 10x, set III:10x). Each of the three datasets correspond to a specific cooling str
This fileset is associated with the Left Atrial Segmentation Challenge 2013 (LASC'13). LASC'13 was part of the STACOM'13 workshop, held in conjunction with MICCAI'13. Seven international research grou
