Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Su Maung"'
Autor:
Denis O’Keeffe, Sarah Kelliher, Banne Nemeth, Suzanne Cannegieter, Karl Ewins, Eduard Turcuman, Tomás Breslin, Su Maung, Barry Kevane, Nigel Salter, Aine Burke, Moira Maxwell, Sean O’Rourke, Meegahage Perera, Abel Wakai, Siobhan Egan, Jean Saunders, Sebastian Vencken, Saad Ahmed, Geraldine McMahon, Safa Eltom, Maeve P. Crowley, Fionnuala Ní Áinle, Michael Watts
Publikováno v:
Thrombosis Update, Vol 1, Iss , Pp 100018- (2020)
Introduction: Temporarily immobilising an injured lower limb is a recognised predisposing factor for the development of venous thromboembolism (VTE). We aim to conduct a prospective study to measure the incidence of VTE after temporary lower limb imm
Externí odkaz:
https://doaj.org/article/2d74daefcdbc49f088d4e27b6a916596
Publikováno v:
I. J. of Advances in Scientific Research and Engineering-IJASRE (ISSN: 2454-8006); Vol. 6 No. 3 (2020): Volume 6 Issue 3 Mar (2020); 95-102
Feature extraction plays a vital role in image processing techniques for medical imaging. In this paper, the researchers proposeda breast cancer classification system by using image processing techniques to help the radiologists that the system can i
Publikováno v:
2021 13th International Conference on Knowledge and Systems Engineering (KSE).
Autor:
Than Than Htay, Su Su Maung
Publikováno v:
2018 18th International Symposium on Communications and Information Technologies (ISCIT).
The disease that threaten the women’s life is Breast Cancer. In medical imaging, the easier way to prevention the death caused by breast cancer is the early stage detection through computer aided diagnosis system. The aim of this study is to develo
Publikováno v:
2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
We built a robust automatic speech recognizer using deep convolutional neural networks (CNNs). Deep CNN has been successfully applied in acoustic modelling for automatic speech recognition due to its ability of reducing spectral variations and modell
Publikováno v:
International Journal of Computer and Communication Engineering. :601-604
Text block segmentation plays an important role in image search systems. Web pages are segmented into blocks for getting text around the image, which will later be used in retrieval process based on user query keywords. This paper presents semantic b