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OBJECTIVES The objectives were to measure the impact of specific features of imaging devices on tasks relevant to minimally invasive surgery (MIS) and to investigate cognitive and perceptual factors in such tasks. BACKGROUND Although image-guided interventions used in MIS provide benefits for patients, they pose drawbacks for surgeons, including degraded(More)
A modular, unsupervised neural network architecture that can be used for clustering and classification of complex data sets is presented. The adaptive fuzzy leader clustering (AFLC) architecture is a hybrid neural-fuzzy system that learns online in a stable and efficient manner. The system used a control structure similar to that found in the adaptive(More)
In cytological evaluation of cells, the nuclear characteristics present significant opportunities for early detection of abnormalities arising from various types of cancer. Accurate representation of cell nuclear structure by traditional manual inspection is difficult and time-consuming. In this paper, we introduce a new semi-automated cell segmentation(More)
OBJECTIVE Visual assessment of digitized cervigrams through the Internet needs to be optimized. The National Cancer Institute and National Library of Medicine are involved in a large effort to improve colposcopic assessment and, in preparation, are conducting methodologic research. MATERIALS AND METHODS We selected 50 cervigrams with diagnoses ranging(More)
The major limitations of precise evaluation of retinal structures in present clinical situations are the lack of standardization, the inherent subjectivity involved in the interpretation of retinal images, and intra- as well as interobserver variability. While evaluating optic disc deformation in glaucoma, these limitations could be overcome by using(More)
This report addresses the issues involved in developing a robust segmentation technique capable of finding the location and orientation of the cervical vertebrae in x-ray images. This technique should be invariant to rotation, scale, noise, occlusions and shape variability. A customized approach, based on the Generalized Hough transform (GHT), that captures(More)