Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Sheila C Nemeth"'
Publikováno v:
Proc IEEE Southwest Symp Image Anal Interpret
SSIAI
SSIAI
Cerebral Malaria (CM) is a severe neurological syndrome of malaria mainly found in children and is associated with highly specific retinal lesions. The manifestation of these indications of CM in the retina is called malarial retinopathy (MR). All pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3872823b79f4d19a6d620ee9e6c55bf7
https://europepmc.org/articles/PMC7591150/
https://europepmc.org/articles/PMC7591150/
Autor:
Justin C. Carmichael, Sheila C Nemeth, Xiaoshan Guo, Jeffrey Wigdahl, Mark R. Burge, Peter Soliz, Vinayak S Joshi
Publikováno v:
Diabetes. 68
The purpose of this study was to identify biomarkers that are indicative of diabetic peripheral neuropathy (DPN). From a cohort of 21 DPN and 18 controls, optic disc- and macula-centered images were taken. Sixty vascular parameters were measured usin
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Impact of retinal image quality: software aid for a low-cost device and effects on disease detection
Autor:
John D. Maynard, Sheila C Nemeth, Simon Barriga, Jeremy Benson, Peter Soliz, Gilberto Zamora, Jeffrey Wigdahl
Publikováno v:
Ophthalmic Technologies XXIX.
Adequate image quality is a necessary component to any retinal screening program whether the cases are to be read by a human reader or processed by an artificial intelligence system (AI). The need for expanded screening for retinal diseases has led t
Autor:
Jeffery Wigdahl, Terrie E. Taylor, Vinayak S Joshi, Chatonda Manda, Susan Lewallen, Ian J. C. MacCormick, Peter Soliz, Simon P. Harding, Sheila C Nemeth
Publikováno v:
EMBC
Cerebral malaria (CM) is a life-threatening clinical syndrome associated with 5-10% of malarial infection cases, most prevalent in Africa. About 23% of cerebral malaria cases are misdiagnosed as false positives, leading to inappropriate treatment and
Autor:
E. Simon Barriga, Jeffrey Wigdahl, John D. Maynard, Jeremy Benson, Peter Soliz, Gilberto Zamora, Sheila C Nemeth, Hector Carrillo, Trilce Estrada
Publikováno v:
Medical Imaging: Image Processing
Diabetic Retinopathy (DR)1, 2 is a leading cause of blindness worldwide and is estimated to threaten the vision of nearly 200 million by 2030.3 To work with the ever-increasing population, the use of image processing algorithms to screen for those at
Autor:
Sheila C Nemeth, Honggang Yu, E. Simon Barriga, Peter Soliz, Carla Agurto, Victor Murray, Marios S. Pattichis
Publikováno v:
Repositorio Institucional UTEC
Universidad de Ingeniería y Tecnología-UTEC
UTEC-Institucional
Universidad de Ingeniería y tecnología
instacron:UTEC
Universidad de Ingeniería y Tecnología-UTEC
UTEC-Institucional
Universidad de Ingeniería y tecnología
instacron:UTEC
This paper presents a multiscale method to detect neovascularization in the optic disc (NVD) using fundus images. Our method is applied to a manually selected region of interest (ROI) containing the optic disc. All the vessels in the ROI are segmente
Autor:
Terrie E. Taylor, Peter Soliz, Ian J. C. MacCormick, Carla Agurto, E. Simon Barriga, Vinayak S Joshi, Susan Lewallen, Sheila C Nemeth, Simon P. Harding
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Cerebral malaria (CM) is a severe neurological complication associated with malarial infection. Malaria affects approximately 200 million people worldwide, and claims 600,000 lives annually, 75% of whom are African children under five years of age. B
Autor:
Ian J. C. MacCormick, Carla Agurto, Peter Soliz, Vinayak S Joshi, E. Simon Barriga, Sheila C Nemeth, Simon P. Harding, Susan Lewallen, Terrie E. Taylor
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Cerebral malaria (CM) is a life-threatening clinical syndrome associated with malarial infection. It affects approximately 200 million people, mostly sub-Saharan African children under five years of age. Malarial retinopathy (MR) is a condition in wh
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
In recent years, several research groups have developed automatic algorithms to detect diabetic retinopathy (DR) in individuals with diabetes (DM), using digital retinal images. Studies have indicated that diabetics have 1.5 times the annual risk of