Multi-modal Age-related Macular Degeneration Dataset

该数据集包含了1094张由眼科医生标注的CFP图像和1289张OCT图像，这些图像来自1093只不同的眼睛，并被分为四类：正常、干性黄斑变性、息肉状脉络膜血管病变（PCV）和湿性黄斑变性。图像根据眼睛的个体身份进行配对，并且进行了数据分割，以确保没有一只眼睛会出现在多于一个的数据子集中。该数据集的规模为1094张CFP图像和1289张OCT图像，其任务是进行多模态的年龄相关性黄斑变性分类。

This dataset contains 1094 CFP images and 1289 OCT images annotated by ophthalmologists, which are sourced from 1093 distinct eyes and categorized into four classes: normal, dry age-related macular degeneration (dry AMD), polypoidal choroidal vasculopathy (PCV), and wet age-related macular degeneration (wet AMD). Images are paired based on the individual identities of the eyes, and data splitting is conducted to ensure that no single eye appears in more than one data subset. This dataset has a total of 1094 CFP images and 1289 OCT images, and its task is multi-modal age-related macular degeneration classification.

搜集汇总

背景与挑战

背景概述

MMC-AMD是一个多模态眼底图像数据集，包含1,093张彩色眼底照片（CFP）和1,288张OCT B扫描图像，用于研究年龄相关性黄斑变性（AMD）的分类。数据集支持多模态深度学习模型的训练和评估，并提供患者分割和模态完整子集。