Robust boundary segmentation in medical images using a consecutive deep encoder-decoder network

NQ Nguyen, SW Lee - Ieee Access, 2019 - ieeexplore.ieee.org
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 …

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

NQ Nguyen, SW Lee - 2019 - scholarworks.bwise.kr
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 …

[PDF][PDF] Robust Boundary Segmentation in Medical Images using a Consecutive Deep Encoder-Decoder Network

NQ NGUYEN, SW LEE - researchgate.net
Image segmentation is typically used to locate objects and boundaries. It is essential in
many clinical applications, such as pathological diagnosis of hepatic diseases, surgical …

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

NQ NGUYEN, SW LEE - scholar.archive.org
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 …

[引用][C] Robust Boundary Segmentation in Medical Images Using a Consecutive Deep Encoder-Decoder Network

NQ Nguyen, SW Lee - IEEE Access, 2019 - ui.adsabs.harvard.edu
Robust Boundary Segmentation in Medical Images Using a Consecutive Deep Encoder-Decoder
Network - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …

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

NQ Nguyen, SW Lee - quangnguyenbn99.github.io
• The objective of this study is to build an ensemble of deep encoder-decoder networks to
train and obtain rich contextual information for the medical object segmentation task.• To …