Robust Needle Localization and Enhancement Algorithm for Ultrasound by Deep Learning and Beam Steering Methods

2021 ◽  
Vol 36 (2) ◽  
pp. 334-346
Author(s):  
Jun Gao ◽  
Paul Liu ◽  
Guang-Di Liu ◽  
Le Zhang
2022 ◽  
Vol 2 (01) ◽  
Author(s):  
Steven J. Spector

2021 ◽  
Author(s):  
Wei‐wei Shen ◽  
Lin Chen ◽  
Shuai Liu ◽  
Yu‐Dong Zhang

Author(s):  
Victor Rabinovich ◽  
Nikolai Alexandrov

Author(s):  
Mingchuan Zhou ◽  
Xijia Wang ◽  
Jakob Weiss ◽  
Abouzar Eslami ◽  
Kai Huang ◽  
...  

2015 ◽  
Vol 41 ◽  
pp. 46-54 ◽  
Author(s):  
Charles R. Hatt ◽  
Gary Ng ◽  
Vijay Parthasarathy

Author(s):  
Yuma Kinoshita ◽  
Hitoshi Kiya

In this paper, we propose a novel hue-correction scheme for color-image-enhancement algorithms including deep-learning-based ones. Although hue-correction schemes for color-image enhancement have already been proposed, there are no schemes that can both perfectly remove perceptual hue-distortion on the basis of CIEDE2000 and be applicable to any image-enhancement algorithms. In contrast, the proposed scheme can perfectly remove hue distortion caused by any image-enhancement algorithm such as deep-learning-based ones on the basis of CIEDE2000. Furthermore, the use of a gamut-mapping method in the proposed scheme enables us to compress a color gamut into an output RGB color gamut, without hue changes. Experimental results show that the proposed scheme can completely correct hue distortion caused by image-enhancement algorithms while maintaining the performance of the algorithms and ensuring the color gamut of output images.


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