Name
Title | ||
|---|---|---|
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy |
Abstract | ||
|---|---|---|
•Segment esophageal GTV using a new CT/PET based two-stream chained deep fusion method.•Propose a simple yet powerful progressive semantically-nested network to segment GTV.•Segment esophageal CTV using a novel spatial-context encoded deep framework.•Establish significant GTV and CTV improvements over prior arts by extensive experiments.•Study the impact of GTV on the CTV segmentation making the whole workflow more interconnected. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2020.101909 | Medical Image Analysis |
Keywords | DocType | Volume |
Esophageal cancer,Radiotherapy,Gross tumor volume,Clinical target volume,RTCT,PET/CT,Multi-modality fusion,Segmentation,Delineation,Distance transform | Journal | 68 |
ISSN | Citations | PageRank |
1361-8415 | 2 | 0.37 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dakai Jin | 1 | 53 | 11.67 |
| Dazhou Guo | 2 | 30 | 5.90 |
| Tsung-Ying Ho | 3 | 6 | 1.76 |
| Adam P. Harrison | 4 | 101 | 17.06 |
| jing xiao | 5 | 80 | 42.68 |
| Chen-Kan Tseng | 6 | 5 | 1.08 |
| Le Lu | 7 | 1297 | 86.78 |