本研究介绍了一个名为‘Laryngeal Dataset for Comparative Study on CNN Based Semantic Segmentation’的数据集，由汉诺威应用科学大学创建。该数据集包含536张手动分割的人类喉部内窥镜图像，用于深度卷积神经网络（CNN）的语义分割研究。数据集涵盖了两个患者在激光切口手术期间的图像，每张图像分辨率为512×512像素，分为7个不同的
The SkullFix contains 100 triplets (complete skull, defective skull and the implant) for training and 110 triplets for evaluation. The SkullFix dataset was first used in the MICCAI 2020 AutoImplant Ch
The MMOTU dataset consists of ovarian ultrasound images collected from Beijing Shijitan Hospital, Capital Medical University. The dataset is divided into two subsets: OTU 2D and OTU CEUS. The OTU 2D s
