Zobrazeno 1 - 10
of 78
pro vyhledávání: '"R J, Stanley"'
Autor:
A. Maurya, R. J. Stanley, N. Lama, S. Jagannathan, D. Saeed, S. Swinfard, J. R. Hagerty, W. V. Stoecker
Publikováno v:
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)REFERENCES. 28(4)
Blood vessels called telangiectasia are visible in skin lesions with the aid of dermoscopy. Telangiectasia are a pivotal identifying feature of basal cell carcinoma. These vessels appear thready, serpiginous, and may also appear arborizing, that is,
Autor:
Rodney Long, Shelliane R. Frazier, George R. Thoma, Haidar Almubarak, William V. Stoecker, Sudhir Sornapudi, R. J. Stanley, Rosemary E. Zuna, Sameer Antani
Publikováno v:
Journal of Pathology Informatics
Journal of Pathology Informatics, Vol 9, Iss 1, Pp 5-5 (2018)
Journal of Pathology Informatics, Vol 9, Iss 1, Pp 5-5 (2018)
Background: Advances in image analysis and computational techniques have facilitated automatic detection of critical features in histopathology images. Detection of nuclei is critical for squamous epithelium cervical intraepithelial neoplasia (CIN) c
Autor:
Reza Zoughi, Kapil Gupta, D. C. Van Aken, Matthew J. O'Keefe, Donald D. Palmer, R. J. Stanley, Mohammad Tayeb Ghasr, Kenneth Doering, Soumya De, Gary J Steffes
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 62:814-827
Multi-modal data fusion techniques are commonly used to enhance decision-making processes. In previous research, a comprehensive structural analysis process was developed for quantizing and evaluating characteristics of defects in aircraft lap-joint
Autor:
Gianluca Sforza, Giovanna Castellano, R. J. Stanley, Jason R. Hagerty, S. A. Arika, William V. Stoecker, Robert W. LeAnder
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 61:1839-1847
The incidence of melanoma in situ (MIS) is growing significantly. Detection at the MIS stage provides the highest cure rate for melanoma, but reliable detection of MIS with dermoscopy alone is not yet possible. Adjunct dermoscopic instrumentation usi
Autor:
Azmath Khan, Randy Hays Moss, Kapil Gupta, Harold S. Rabinovitz, Giuseppe Argenziano, William V. Stoecker, H. Peter Soyer, Armand B. Cognetta, R. J. Stanley
Publikováno v:
Computerized Medical Imaging and Graphics. 33:50-57
Blotches, also called structureless areas, are critical in differentiating malignant melanoma from benign lesions in dermoscopy skin lesion images. In this paper, fuzzy logic techniques are investigated for the automatic detection of blotch features
Publikováno v:
Information Fusion. 3:215-223
Strategies for fusion of electromagnetic induction (metal detector (MD)) and ground penetrating radar (GPR) sensors for landmine detection are investigated. Feature and decision level algorithms are devised and compared. Features are extracted from t
Publikováno v:
Pattern Analysis and Applications. 1:206-217
Automated Giemsa-banded chromosome image research has been largely restricted to classification schemes associated with isolated chromosomes within metaphase spreads. Overlapping chromosomes cause difficulties in the automated chromosome karyotyping
Publikováno v:
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI). 18(4)
Background Telangiectasia, tiny skin vessels, are important dermoscopy structures used to discriminate basal cell carcinoma (BCC) from benign skin lesions. This research builds off of previously developed image analysis techniques to identify vessels
Publikováno v:
2009 12th International IEEE Conference on Intelligent Transportation Systems.
Nondestructive Testing (NDT) is used to detect hidden corrosion in ageing aircraft structures. Use of any single NDT modality provides an incomplete picture of the corrosion environment. Data fusion techniques can be used for improved visualization a
Publikováno v:
ICETET
Computer-assisted vertebra segmentation in X-ray images is a challenging problem. Inter-subject variability and the generally poor contrast of digitized radiograph images contribute to the segmentation difficulty. In this paper, a semi-automated live