JSRT Database

The standard digital image database with and without chest lung nodules (JSRT database) was created(*1) by the Japanese Society of Radiological Technology (JSRT) in cooperation with the Japanese Radiological Society (JRS) in 1998. Since then, the JSRT database has been used by a number of researchers in the world for various research purposes such as image processing, image compression, evaluation of image display, computer-aided diagnosis (CAD), picture archiving and communication system (PACS), and for training and testing.
The number of citations for this database was 35 in 2006, and is likely to increase in the future. After 10 years since the creation of this valuable database, we have decided to release the JSRT database with free of charge in order to facilitate potential users around the world. Please try to use our database in your research field.

Descriptions of the JSRT database

Useful for ROC analysis (154 nodule and 93 non-nodule images)
High resolution (2048 x 2048 matrix size, 0.175mm pixel size)
Wide density range (12bit, 4096 gray scale)
Universal image format (no header, big-endian raw data)
Useful for diagnostic training and testing
Additional information

patient age, gender, diagnosis (malignant or benign), X and Y coordinates of nodule, simple diagram of nodule location, degree of subtlety in visual detection of nodules

Registration and Download the JSRT database

ll users are required to register – by creating a user_name and by obtaining a password to access download site. New registration to start this simple, two step process. If you already have your user_name and a password, input your user_name and password to login. (Please note that the password will be invalid when you logged in to the download site more than ten times, so please re-register to obtain a new password)

registered user

Login (example)
User name (3 to 20 letters):jshira, hana0920

new user



Shiraishi J, Katsuragawa S, Ikezoe J, Matsumoto T, Kobayashi T, Komatsu K, Matsui M, Fujita H, Kodera Y, and Doi K.: Development of a digital image database for chest radiographs with and without a lung nodule: Receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules. AJR 174; 71-74, 2000