dacthai2k/ViMed-PET-part3

Dataset description for year 2023

• This dataset contains data from three months: October, November, and December, stored in the following folders respectively:

  • THANG 10
  • THANG 11
  • THANG 12

• The data is compressed into zip files (chunks), each with an average size of approximately 2.5 GB.

• Please unzip the .zip files to fully extract the data folders.

Folder structure after extraction

Each folder named THANG {month} is divided into 3 subfolders, corresponding to 2 different image modalities and 1 report folder.

• Image data files are stored in .npy format.
• Text data files are stored in .json format.

Both image and text files follow the naming convention:

day_{day_in_month}_patient_{patient_name}.*

Medical test set

We also provide a medical test set for clinical evaluation in .medical_test_set folder, which includes 80 lung cancer cases. Each file is stored in .json format and named as:

PETCT_{year}_THANG {month}_{day_in_month}_patient_{patient_name}_REPORT_patient_{patient_name}.json

Metadata files

Additionally, the repository contains 4 CSV files, which summarize patient information for each study in specific year, named as:

metadata_{year}.csv