Convolution neural networks for real-time needle detection and localization in 2D ultrasound

Author(s):  
Cosmas Mwikirize ◽  
John L. Nosher ◽  
Ilker Hacihaliloglu
2019 ◽  
Author(s):  
Jimut Bahan Pal

It has been a real challenge for computers with low computing power and memory to detect objects in real time. After the invention of Convolution Neural Networks (CNN) it is easy for computers to detect images and recognize them. There are several technologies and models which can detect objects in real time, but most of them require high end technologies in terms of GPUs and TPUs. Though, recently many new algorithms and models have been proposed, which runs on low resources. In this paper we studied MobileNets to detect objects using webcam to successfully build a real time objectdetection system. We observed the pre trained model of the famous MS COCO dataset to achieve our purpose. Moreover, we applied Google’s open source TensorFlow as our back end. This real time object detection system may help in future to solve various complex vision problems.


Author(s):  
Danushka Madhuranga ◽  
Rivindu Madushan ◽  
Chathuranga Siriwardane ◽  
Kutila Gunasekera

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Imaging and Multimedia Analytics in a Web and Mobile World proceedings.


2020 ◽  
Vol 16 (2) ◽  
pp. 158-166
Author(s):  
Rishiikeshwer B. S. ◽  
T. Aswin Shriram ◽  
J. Sanjay Raju ◽  
M. Hari ◽  
B. Santhi ◽  
...  

2019 ◽  
Vol 10 ◽  
Author(s):  
Kushtrim Bresilla ◽  
Giulio Demetrio Perulli ◽  
Alexandra Boini ◽  
Brunella Morandi ◽  
Luca Corelli Grappadelli ◽  
...  

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