An automated technique for carotid far wall classification using grayscale features and wall thickness variability

Autor: Acharya, Ur, Sree, Sv, Molinari, Filippo, Saba, L, Nicolaides, A, Suri, Js

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2153::6950872a5dbefc89ad790de2cb84bff0
http://hdl.handle.net/11583/2556937

Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies.

Autor: Koh JEW; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489 Singapore, Singapore., Acharya UR; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489 Singapore, Singapore; Department of Biomedical Engineering, School of Science and Technology, SIM University, 599491 Singapore, Singapore; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Malaysia, Malaysia. Electronic address: aru@np.edu.sg., Hagiwara Y; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489 Singapore, Singapore., Raghavendra U; Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal University, Manipal 576104, India., Tan JH; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489 Singapore, Singapore., Sree SV; Visiting Scientist, Global Biomedical Technologies, CA, USA., Bhandary SV; Department of Ophthalmology, Kasturba Medical College, Manipal 576104, India., Rao AK; Department of Ophthalmology, Kasturba Medical College, Manipal 576104, India., Sivaprasad S; Consultant ophthalmologist, NIHR Moorfields Biomedical Research Centre, London, United Kingdom., Chua KC; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489 Singapore, Singapore., Laude A; National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore 308433, Singapore., Tong L; Singapore Eye Research Institute, Ocular Surface Research Group, Singapore, Singapore; Singapore National Eye Center, Cornea and External Eye Disease Department, Singapore, Singapore; Duke-National University of Singapore Graduate Medical School, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2017 May 01; Vol. 84, pp. 89-97. Date of Electronic Publication: 2017 Mar 16.

Ovarian tissue characterization in ultrasound: a review.

Autor: Acharya UR; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia., Molinari F; Biolab, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy filippo.molinari@polito.it., Sree SV; Point-of-Care Devices Division, Global Biomedical Technologies Inc., Roseville, CA, USA., Swapna G; Department of Applied Electronics and Instrumentation, Government Engineering College, Kozhikode, Kerala, India., Saba L; Department of Radiology, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy., Guerriero S; Department of Obstetrics and Gynecology, University of Cagliari, Ospedale San Giovanni di Dio, Cagliari, Italy., Suri JS; Point-of-Care Devices Division, Global Biomedical Technologies Inc., Roseville, CA, USA Monitoring & Diagnostic Division, AtheroPoint LLC, Roseville, CA, USA Electrical Engineering Department, Idaho State University, (Aff.), Pocatello, ID, USA.

Publikováno v: Technology in cancer research & treatment [Technol Cancer Res Treat] 2015 Jun; Vol. 14 (3), pp. 251-61. Date of Electronic Publication: 2014 Sep 16.

A review on ultrasound-based thyroid cancer tissue characterization and automated classification.

Autor: Acharya UR; Department of Electronics and Communication Engineering, Ngee Ann Polytechnic, Singapore 599489. filippo.molinari@polito.it., Swapna G, Sree SV, Molinari F, Gupta S, Bardales RH, Witkowska A, Suri JS

Publikováno v: Technology in cancer research & treatment [Technol Cancer Res Treat] 2014 Aug; Vol. 13 (4), pp. 289-301. Date of Electronic Publication: 2013 Nov 04.

Computer-aided diagnostic system for detection of Hashimoto thyroiditis on ultrasound images from a Polish population.

Autor: Acharya UR; Global Biomedical Technologies, Inc, 208 Otter Glen CT, Roseville, CA 95661 USA. vinitha.sree@gmail.com., Sree SV, Krishnan MM, Molinari F, Zieleźnik W, Bardales RH, Witkowska A, Suri JS

Publikováno v: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine [J Ultrasound Med] 2014 Feb; Vol. 33 (2), pp. 245-53.