Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer Aggregation

2019 ◽  
Author(s):  
Zhongyu Li ◽  
Yixuan Lou ◽  
Zhennan Yan ◽  
Subhi AlrAref ◽  
James K Min ◽  
...  
Keyword(s):  
Cardiac Mri ◽  
Deep Layer ◽  
Automatic Segmentation ◽  
Short Axis ◽  
Fully Automatic

scholarly journals Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images

2020 ◽  
Vol 85 ◽  
pp. 101786
Author(s):  
Adam Budai ◽  
Ferenc I. Suhai ◽  
Kristof Csorba ◽  
Attila Toth ◽  
Liliana Szabo ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Cardiac Mri ◽  
Automatic Segmentation ◽  
Short Axis ◽  
Fully Automatic

Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI

2014 ◽  
Vol 38 (3) ◽  
pp. 190-201 ◽  
Author(s):  
Jordan Ringenberg ◽  
Makarand Deo ◽  
Vijay Devabhaktuni ◽  
Omer Berenfeld ◽  
Pamela Boyers ◽  
...  
Keyword(s):  
Right Ventricle ◽  
Cardiac Mri ◽  
Automatic Segmentation ◽  
Short Axis ◽  
Fully Automatic ◽  
The Right

Fully automatic segmentation of sinonasal cavity and pharyngeal airway based on convolutional neural networks

2021 ◽  
Vol 159 (6) ◽  
pp. 824-835.e1
Author(s):  
Rosalia Leonardi ◽  
Antonino Lo Giudice ◽  
Marco Farronato ◽  
Vincenzo Ronsivalle ◽  
Silvia Allegrini ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Automatic Segmentation ◽  
Pharyngeal Airway ◽  
Fully Automatic

scholarly journals Automatic segmentation and classification of seven-segment display digits on auroral images

2016 ◽  
Vol 5 (2) ◽  
pp. 305-314 ◽  
Author(s):  
Tuomas Savolainen ◽  
Daniel Keith Whiter ◽  
Noora Partamies
Keyword(s):  
Automatic Segmentation ◽  
Scientific Information ◽  
Spherical Mirror ◽  
Automatic Method ◽  
Time Period ◽  
Film Images ◽  
Fully Automatic ◽  
Night Sky

Abstract. In this paper we describe a new and fully automatic method for segmenting and classifying digits in seven-segment displays. The method is applied to a dataset consisting of about 7 million auroral all-sky images taken during the time period of 1973–1997 at camera stations centred around Sodankylä observatory in northern Finland. In each image there is a clock display for the date and time together with the reflection of the whole night sky through a spherical mirror. The digitised film images of the night sky contain valuable scientific information but are impractical to use without an automatic method for extracting the date–time from the display. We describe the implementation and the results of such a method in detail in this paper.

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