A Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans-Reference-Cited by-同舟云学术

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A Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans

Published:2011-06 Issue:6 Volume:30 Page:1252-1264
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Feulner J,Zhou S K,Hammon M,Seifert S,Huber M,Comaniciu D,Hornegger J,Cavallaro A

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx5/42/5779922/05710425.pdf?arnumber=5710425

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation;Computer Methods and Programs in Biomedicine;2024-06

2. Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm;Sensors;2021-07-02

3. Generalizable cone beam CT esophagus segmentation using physics-based data augmentation;Physics in Medicine & Biology;2021-03-03

4. Esophageal Tumor Segmentation in CT Images Using a Dilated Dense Attention Unet (DDAUnet);IEEE Access;2021

5. Esophagus segmentation from planning CT images using an atlas-based deep learning approach;Computer Methods and Programs in Biomedicine;2020-12

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