FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos

2017 ◽  
Author(s):  
Suyog Dutt Jain ◽  
Bo Xiong ◽  
Kristen Grauman
Keyword(s):  
Automatic Segmentation ◽  
Combine Motion ◽  
Fully Automatic

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.

Fully Automatic Segmentation and Evaluation of Lateral Spine Radiographs

2003 ◽  
pp. 413-417
Author(s):  
Michael Kohnen ◽  
Andreas H. Mahnken ◽  
Alexander S. Brandt ◽  
Rolf W. Günther ◽  
Berthold B. Wein
Keyword(s):  
Automatic Segmentation ◽  
Lateral Spine ◽  
Fully Automatic ◽  
Spine Radiographs

Fully automatic segmentation and characterization of in vivo esophageal tissue by optical coherence tomography (Conference Presentation)

2016 ◽  
Author(s):  
Giovanni Jacopo J. Ughi ◽  
Michalina J. Gora ◽  
Anne-Fre Swager ◽  
Mireille Rosenberg ◽  
Jenny Sauk ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Automatic Segmentation ◽  
Optical Coherence ◽  
Esophageal Tissue ◽  
Fully Automatic
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