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In recent years, shape based active contours have emerged as a natural solution to overlap resolution. However, most of these shape-based methods are limited to finding and resolving one object overlap per scene and require user intervention for model initialization. In this paper, we present a novel synergistic segmentation scheme called Active Contour for Overlap Resolution using Watershed (ACOReW)...
Computer-aided prognosis (CAP) is a new and exciting complement to the field of computer-aided diagnosis (CAD) and involves developing computerized image analysis and multi-modal data fusion algorithms for helping physicians predict disease outcome and patient survival. At the Laboratory for Computational Imaging and Bioinformatics (LCIB) at Rutgers University we have been developing computerized...
High intensity focused ultrasound (HIFU) has been developed and clinically used as a non-invasive cancer tumor treatment alternative. As compared to more commonly used cancer treatments such as surgery and radiation therapy, HIFU has the advantages of being minimally evasive and resulting in significantly less side-effect (F. Wu et al., 2004). Clinical applications of HIFU have seemed promising success...
Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, we present a methodology for automated detection and segmentation of structures of interest in digitized histopathology images. The scheme integrates image information from across three different scales: (1) low- level information...
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