Jung, Florian ; Medea, Biebl-Rydlo ; Daisne, Jean-François ; Wesarg, Stefan (2017)
Automatic Sentinel Lymph Node Localization in Head and Neck Cancer Using a Coupled Shape Model Algorithm.
CARE 2017, CLIP 2017. Québec, Kanada (14 September 2017)
doi: 10.1007/978-3-319-67543-5_13
Conference or Workshop Item, Bibliographie
Abstract
The localization and analysis of the sentinel lymph node for patients diagnosed with cancer, has significant influence on the prognosis, outcome and treatment of the disease. We present a fully automatic approach to localize the sentinel lymph node and additional active nodes and determine their lymph node level on SPECT-CT data. This is a crucial prerequisite for the planning of radiation therapy or a surgical neck dissection. Our approach was evaluated on 17 lymph nodes. The detection rate of the lymph nodes was 94%; and 88% of the lymph nodes were correctly assigned to their corresponding lymph node level. The proposed algorithm targets a very important topic in clinical practice. The first results are already very promising. The next step has to be the evaluation on a larger data set.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2017 |
| Creators: | Jung, Florian ; Medea, Biebl-Rydlo ; Daisne, Jean-François ; Wesarg, Stefan |
| Type of entry: | Bibliographie |
| Title: | Automatic Sentinel Lymph Node Localization in Head and Neck Cancer Using a Coupled Shape Model Algorithm |
| Language: | English |
| Date: | 2017 |
| Place of Publication: | Berlin |
| Publisher: | Springer |
| Book Title: | Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures |
| Event Title: | CARE 2017, CLIP 2017 |
| Event Location: | Québec, Kanada |
| Event Dates: | 14 September 2017 |
| DOI: | 10.1007/978-3-319-67543-5_13 |
| URL / URN: | https://doi.org/10.1007/978-3-319-67543-5_13 |
| Abstract: | The localization and analysis of the sentinel lymph node for patients diagnosed with cancer, has significant influence on the prognosis, outcome and treatment of the disease. We present a fully automatic approach to localize the sentinel lymph node and additional active nodes and determine their lymph node level on SPECT-CT data. This is a crucial prerequisite for the planning of radiation therapy or a surgical neck dissection. Our approach was evaluated on 17 lymph nodes. The detection rate of the lymph nodes was 94%; and 88% of the lymph nodes were correctly assigned to their corresponding lymph node level. The proposed algorithm targets a very important topic in clinical practice. The first results are already very promising. The next step has to be the evaluation on a larger data set. |
| Uncontrolled Keywords: | Medical applications, Medical diagnosis, Oral cancer |
| Additional Information: | Lecture Notes in Computer Science, vol 10550 |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 04 May 2020 08:44 |
| Last Modified: | 04 May 2020 08:44 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum