SimNICT

该数据集名为SimNICT，是一个大规模的NICT数据集，包含了360万张图片，涵盖了各种NICT设置和身体部位。这些图片通过模拟NICT成像的物理过程，呈现出真实的图像缺陷。与现有工作相比，SimNICT在多样性上有了显著提升，并且据称其数据质量是典型NICT增强数据集的360倍以上。该数据集的规模达到了360万张图片，旨在应对各种设置和身体部位的NICT增强任务。

The dataset named SimNICT is a large-scale NICT dataset containing 3.6 million images covering various NICT imaging settings and anatomical body parts. These images simulate the physical processes of NICT imaging to reproduce realistic image artifacts. Compared with existing works, SimNICT has achieved significant improvements in terms of diversity, and its data quality is claimed to be over 360 times that of typical NICT enhancement datasets. With a total scale of 3.6 million images, this dataset is designed to address NICT enhancement tasks across diverse settings and body parts.