Esophageal Tumor Segmentation in CT Images Using a Dilated Dense Attention Unet (DDAUnet)

Esophageal Tumor Segmentation in CT Images Using a Dilated Dense Attention Unet (DDAUnet)

Manual or automatic delineation of the esophageal tumor in CT images is known to be very challenging. This is due to the low contrast between the tumor and adjacent tissues, the anatomical variation of the esophagus, as well as the occasional presence of foreign bodies (e.g. feeding tubes). Physicia...

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Bibliographic Details
Main Authors: Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Frank J. W. M. Dankers, Marius Staring
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Esophageal tumor segmentation
CT images
densely connected pattern
UNet
dilated convolutional layer
attention gate
Online Access:https://ieeexplore.ieee.org/document/9481104/

Internet

https://ieeexplore.ieee.org/document/9481104/

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