Name
Abstract | ||
|---|---|---|
We propose a de-identification system which runs in a standalone mode. The system takes care of the de-identification of radiation oncology patient’s clinical and annotated imaging data including RTSTRUCT, RTPLAN, and RTDOSE. The clinical data consists of diagnosis, stages, outcome, and treatment information of the patient. The imaging data could be the diagnostic, therapy planning, and verification images. Archival of the longitudinal radiation oncology verification images like cone beam CT scans along with the initial imaging and clinical data are preserved in the process. During the de-identification, the system keeps the reference of original data identity in encrypted form. These could be useful for the re-identification if necessary. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s10916-020-01563-0 | Journal of Medical Systems |
Keywords | DocType | Volume |
De-identification, DICOM, Radiomics, PHI, CHAVI-DDIS, RLTI | Journal | 44 |
Issue | ISSN | Citations |
5 | 0148-5598 | 1 |
PageRank | References | Authors |
0.48 | 0 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Surajit Kundu | 1 | 1 | 0.48 |
| Santam Chakraborty | 2 | 1 | 0.48 |
| Sanjoy Chatterjee | 3 | 6 | 2.67 |
| Syamantak Das | 4 | 1 | 0.48 |
| Rimpa Basu Achari | 5 | 1 | 0.48 |
| Jayanta Mukhopadhyay | 6 | 72 | 26.05 |
| Partha Pratim Das | 7 | 1 | 0.48 |
| Indranil Mallick | 8 | 1 | 1.50 |
| Moses Arunsingh | 9 | 1 | 0.48 |
| Tapesh Bhattacharyyaa | 10 | 1 | 0.48 |
| Soumendranath Ray | 11 | 1 | 0.48 |