Loading...
Fully automated esophagus segmentation with a hierarchical deep learning approach
Segmentation of organs at risk in CT volumes is a prerequisite for radiotherapy treatment planning. In this paper we focus on esophagus segmentation, a challenging problem since the walls of the esophagus have a very low contrast in CT images. Making use of Fully Convolutional Networks (FCN), we pre...
Na minha lista:
| Udgivet i: | Conf Proc IEEE Int Conf Signal Image Process Appl |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2017
|
| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6193464/ https://ncbi.nlm.nih.gov/pubmed/30345425 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICSIPA.2017.8120664 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|