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.

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System Statistics

Active Clients

5

Unique Patients

2528

Today: 16

Unique Series

2528

Today: 16

Total Uploads

2529

Today: 16

Hourly Avg: 0.49

Completed Segmentations

2413

Today: 13

Structures Segmented

40589

Today: 230

Median Autosegmentation Time

18.1 minutes

Today: 22.8 minutes

Median Processing Time

20.0 minutes

Today: 23.1 minutes

Most Frequent Structures by Anatomic Group - Last 7 Days

Showing top 5 structures per anatomic group (6 groups)

Showing 3 client(s) with activity