Robust Boundary Segmentation in Medical Images Using a Consecutive Deep Encoder-Decoder Network

Robust Boundary Segmentation in Medical Images Using a Consecutive Deep Encoder-Decoder Network

Image segmentation is typically used to locate objects and boundaries. It is essential in many clinical applications, such as the pathological diagnosis of hepatic diseases, surgical planning, and postoperative assessment. The segmentation task is hampered by fuzzy boundaries, complex backgrounds, a...

Full description

Bibliographic Details
Main Authors: Ngoc-Quang Nguyen, Sang-Woong Lee
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Image segmentation
medical image segmentation
encoder-decoder network
boundary segmentation
continuous network
deep convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/8664145/

Internet

https://ieeexplore.ieee.org/document/8664145/

Similar Items