Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ning Situ"'
Publikováno v:
Pattern Recognition. 42:1017-1028
Accurate skin lesion segmentation is critical for automated early skin cancer detection and diagnosis. In this paper, we present a novel multi-modal skin lesion segmentation method based on region fusion and narrow band energy graph partitioning. The
Publikováno v:
Biomedical Signal Processing and Control. 3:220-228
Skin cancer is the most common form of cancer and represents 50 % of all new cancers detected each year. However, if detected at an early stage, simple and economic treatments can cure most skin cancers. Accurate skin lesion segmentation is critical
Autor:
George, Zouridakis, Tarun, Wadhawan, Ning, Situ, Rui, Hu, Xiaojing, Yuan, Keith, Lancaster, Courtney M, Queen
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1256
Smartphones of the latest generation featuring advanced multicore processors, dedicated microchips for graphics, high-resolution cameras, and innovative operating systems provide a portable platform for running sophisticated medical screening softwar
Autor:
Keith Lancaster, Tarun Wadhawan, George Zouridakis, Rui Hu, Courtney M. Queen, Ning Situ, Xiaojing Yuan
Publikováno v:
Methods in Molecular Biology ISBN: 9781493921713
Smartphones of the latest generation featuring advanced multicore processors, dedicated microchips for graphics, high-resolution cameras, and innovative operating systems provide a portable platform for running sophisticated medical screening softwar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3ce06673b95c4615ccdd2d92d12d528
https://doi.org/10.1007/978-1-4939-2172-0_30
https://doi.org/10.1007/978-1-4939-2172-0_30
Publikováno v:
Journal of machine learning research : JMLR. 15
In typical classification problems, high level concept features provided by a domain expert are usually available during classifier training but not during its deployment. We address this problem from a multitask learning (MTL) perspective by treatin
Publikováno v:
Computer-Aided Cancer Detection and Diagnosis: Recent Advances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f18fd59754ab9a7e7267d00e18c8d8c
https://doi.org/10.1117/3.1002311.ch7
https://doi.org/10.1117/3.1002311.ch7
Publikováno v:
EMBC
Scopus-Elsevier
Scopus-Elsevier
In this paper we implement the 7-point checklist, a set of dermoscopic criteria widely used by clinicians for melanoma detection, on smart handheld devices, such as the Apple iPhone and iPad. The application developed is using sophisticated image pro
Publikováno v:
ISBI
Among the most critical components of a computerized system for automated melanoma detection is image sampling and pooling of the extracted features. In this paper, we propose a new method for sampling and pooling based on a combination of spatial po
Publikováno v:
ISBI
We have developed a portable library for automated detection of melanoma termed SkinScan© that can be used on smartphones and other handheld devices. Compared to desktop computers, embedded processors have limited processing speed, memory, and power
Autor:
Eduardo M. Castillo, Luca Pollonini, Udit Patidar, Andrew C. Papanicolaou, George Zouridakis, Harvey S. Levin, Roozbeh Rezaie, Ning Situ
Publikováno v:
2011 1st Middle East Conference on Biomedical Engineering.
In this study, we analyzed brain connectivity profiles from mild traumatic brain injury (mTBI) patients and normal controls. We computed Granger causality measures from magnetoencepha-lographic (MEG) activity obtained at the resting state, in an atte