Welcome to the Deep-learning for Radiotherapy Autosegmentation Workflow (DRAW) project. This project aims to develop an open source automatic segmentation solution for radiotherapy. The project has been jointly developed by the Department of Radiation Oncology, Tata Medical Center, Kolkata and the Indian Institute of Technology, Kharagpur. The DRAW project uses a secure client-server architecture to allow centers to use deep-learning based autosegmentation models without the need to purchase expensive hardware. We also help institutes train their own autosegmentation models if one of the provided models does not meet their needs. This website is designed to help you explore the autosegmentation models that are available for use with the DRAW system.
Register Your InterestSystem Statistics
Active Clients
5
Unique Patients
1838
Today: 24
Unique Series
1838
Today: 24
Total Uploads
1839
Today: 24
Hourly Avg: 0.50
Completed Segmentations
1755
Today: 18
Structures Segmented
28574
Today: 336
Average Autosegmentation Time
66.7 minutes
3999 seconds
Average Processing Time
73.6 minutes
Today: 40.3 minutes
