Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Vinitha Sree, S"'
Publikováno v:
In Knowledge-Based Systems June 2013 45:147-165
Autor:
Giri, Donna, Rajendra Acharya, U., Martis, Roshan Joy, Vinitha Sree, S., Lim, Teik-Cheng, Ahamed, Thajudin, VI, Suri, Jasjit S.
Publikováno v:
In Knowledge-Based Systems January 2013 37:274-282
Publikováno v:
In Expert Systems With Applications August 2012 39(10):9072-9078
Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan™ systems
Autor:
Rajendra Acharya, U., Vinitha Sree, S., Muthu Rama Krishnan, M., Molinari, Filippo, Garberoglio, Roberto, Suri, Jasjit S.
Publikováno v:
In Ultrasonics April 2012 52(4):508-520
Autor:
Vinitha Sree S, Rob Royea, Jim Holmes, Ronald L. Fletcher, Joshua D. I. Ellenhorn, Ng Eyk, Kevin J. Buckman, Matt Benardis, U. Rajendra Acharya
Publikováno v:
Computer Methods and Programs in Biomedicine. 205:106118
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fdf325132db074f190003199f08bef8
https://doi.org/10.1016/j.cmpb.2021.106118
https://doi.org/10.1016/j.cmpb.2021.106118
Autor:
Kevin J. Buckman, U. Rajendra Acharya, Jim Holmes, Vinitha Sree S, Ronald L. Fletcher, Matt Benardis, Joshua D. I. Ellenhorn, Rob Royea, Ng Eyk
Publikováno v:
Computer Methods and Programs in Biomedicine. 197:105758
Background The most common breast cancer detection modalities are generally limited by radiation exposure, discomfort, high costs, inter-observer variabilities in image interpretation, and low sensitivity in detecting cancer in dense breast tissue. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7270a1cee863f7237213ef7b2c156e49
https://doi.org/10.1016/j.cmpb.2020.105758
https://doi.org/10.1016/j.cmpb.2020.105758
Autor:
Luca Saba, Filippo Molinari, Jasjit S. Suri, U. Rajendra Acharya, Vinitha Sree S, Stefano Guerriero
Publikováno v:
Scopus-Elsevier
EMBC
EMBC
In this work, we have developed an adjunct Computer Aided Diagnostic (CAD) technique that uses 3D acquired ultrasound images of the ovary and data mining algorithms to accurately characterize and classify benign and malignant ovarian tumors. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c1350f54ecba1b54af1205a30d180c8
https://pubmed.ncbi.nlm.nih.gov/23366914
https://pubmed.ncbi.nlm.nih.gov/23366914
Autor:
Jasjit S. Suri, Shoaib Shafique, Andrew N. Nicolaides, U. Rajendra Acharya, Luca Saba, Filippo Molinari, Vinitha Sree S
Publikováno v:
Scopus-Elsevier
EMBC
EMBC
In this paper, we present a Computer Aided Diagnosis (CAD) based technique (Atheromatic system) for classification of carotid plaques in B-mode ultrasound images into symptomatic or asymptomatic classes. This system, called Atheromatic, has two steps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60a8bb4a00dae605c75b5a3558458e9
http://hdl.handle.net/11583/2656755
http://hdl.handle.net/11583/2656755
Autor:
Acharya, UR, Vinitha Sree, S, Mookiah, MRK, Yantri, R, Molinari, F, Zieleźnik, W, Małyszek-Tumidajewicz, J, Stępień, B, Bardales, RH, Witkowska, A, Suri, JS
Publikováno v:
Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Sage Publications, Ltd.); Jul2013, Vol. 227 Issue 7, p788-798, 11p
Autor:
Acharya, U., Mookiah, Muthu, Vinitha Sree, S., Afonso, David, Sanches, Joao, Shafique, Shoaib, Nicolaides, Andrew, Pedro, L., Fernandes e Fernandes, J., Suri, Jasjit
Publikováno v:
Medical & Biological Engineering & Computing; May2013, Vol. 51 Issue 5, p513-523, 11p, 2 Diagrams, 5 Charts