An Upgraded Siamese Neural Network for Motion Tracking in Ultrasound Image Sequences

Author(s):  
Skanda Bharadwaj ◽  
Sumukha Prasad ◽  
Mohamed Almekkawy
1998 ◽  
Vol 17 (6) ◽  
pp. 945-956 ◽  
Author(s):  
Fai Yeung ◽  
S.F. Levinson ◽  
Dongshan Fu ◽  
K.J. Parker

Author(s):  
Youngkyoo Hwang ◽  
Jung-Bae Kim ◽  
Won-Chul Bang ◽  
James D.K. Kim ◽  
Chang-Yeong Kim ◽  
...  

2020 ◽  
Vol 6 (3) ◽  
pp. 501-504
Author(s):  
Dennis Schmidt ◽  
Andreas Rausch ◽  
Thomas Schanze

AbstractThe Institute of Virology at the Philipps-Universität Marburg is currently researching possible drugs to combat the Marburg virus. This involves classifying cell structures based on fluoroscopic microscopic image sequences. Conventionally, membranes of cells must be marked for better analysis, which is time consuming. In this work, an approach is presented to identify cell structures in images that are marked for subviral particles. It could be shown that there is a correlation between the distribution of subviral particles in an infected cell and the position of the cell’s structures. The segmentation is performed with a "Mask-R-CNN" algorithm, presented in this work. The model (a region-based convolutional neural network) is applied to enable a robust and fast recognition of cell structures. Furthermore, the network architecture is described. The proposed method is tested on data evaluated by experts. The results show a high potential and demonstrate that the method is suitable.


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