Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration
We describe a visual computing approach to radiation therapy (RT) planning, based on spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment, dosage to organs at risk surrounding a tumor is a large cause of treatment toxicity. Along with the availability of pat...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 26(2020), 1 vom: 22. Jan., Seite 949-959
|
|---|
| 1. Verfasser: |
Wentzel, A
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Hanula, P,
Luciani, T,
Elgohari, B,
Elhalawani, H,
Canahuate, G,
Vock, D,
Fuller, C D,
Marai, G E |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2020
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
|
|---|
| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S. |
|---|