LUNA16 converted dataset

Previously, the work of collecting and processing medical image data, especially the LUNA16 dataset, required a lot of effort and was time-consuming and costly. This work studied the dataset LUNA16 carefully, programmatically converted the LUNA16 database, which was stored in the .mhd/.raw format to the .jpg format, using the Hounsfield Unit scale in combination with Simple ITK library. At the end of the conversion, the new dataset has less storage required than the original dataset, and the research community will be able to access to a preprocessed and prepared data source, reduce the effort and time required for traditional data preprocessing. This not only speeds up the research process, but also gives a great impetus to the development and evaluation of new deep learning methods later on.