Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sarang Lakare"'
Publikováno v:
International Congress Series. 1281:50-55
A method and a quantitative metric for the evaluation, visualization and tuning of anatomical-structure segmentation based on experts' manual contours are presented. This method allows to establish a point-to-point correspondence between automatic an
Publikováno v:
Communications of the ACM. 48:37-41
A computer-graphics-based alternative to conventional optical colonoscopy, known as virtual colonoscopy (VC) or computed tomography colonography (CTC), is rapidly gaining popularity. During this procedure, which was concurrently developed by our grou
Autor:
Pascal Cathier, Michael Macari, Sarang Lakare, Jianming Liang, Murat Dundar, Senthil Periaswamy, Anna Jerebko, Luca Bogoni, Mark E. Baker
Publikováno v:
The British Journal of Radiology. 78:S57-S62
Colorectal cancer is the third most common cancer in both men and women. It is estimated that in 2004, nearly 147,000 cases of colon and rectal cancer will be diagnosed in the USA, and approximately 57,000 people would die from the disease; however,
Autor:
Sarang Lakare, Laks Raghupathi
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Advances in multi-detector technology have made CT pulmonary angiography (CTPA) a popular radiological tool for pulmonary emboli (PE) detection. CTPA provide rich detail of lung anatomy and is a useful diagnostic aid in highlighting even very small P
Autor:
Pandu R. Devarakota, Sarang Lakare, M. S. Dinesh, Arun Krishnan, Marcos Salganicoff, Laks Raghupathi
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
This work involves the computer-aided diagnosis (CAD) of pulmonary embolism (PE) in contrast-enhanced computed tomography pulmonary angiography (CTPA). Contrast plays an important role in analyzing and identifying PE in CTPA. At times the contrast mi
Publikováno v:
ICML
In this study we introduce a novel algorithm for learning a polyhedron to describe the target class. The proposed approach takes advantage of the limited subclass information made available for the negative samples and jointly optimizes multiple hype
Autor:
Luca Bogoni, Sarang Lakare, Michael Macari, Dina F. Caroline, Andrew Blum, Anna Jerebko, Mark E. Baker, Erick M. Remer, Chandra Dass, Renee M. Kendzierski, David M. Einstein, Pascal Cathier, Nancy A. Obuchowski
Publikováno v:
Radiology. 245(1)
To determine whether computer-aided detection (CAD) applied to computed tomographic (CT) colonography can help improve sensitivity of polyp detection by less-experienced radiologist readers, with colonoscopy or consensus used as the reference standar
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 9(Pt 2)
A novel approach for generating a set of features derived from properties of patterns of curvature is introduced as a part of a computer aided colonic polyp detection system. The resulting sensitivity was 84% with 4.8 false positives per volume on an
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Colon cancer is a widespread disease and, according to the American Cancer Society, it is estimated that in 2006 more than 55,000 people will die of colon cancer in the US. However, early detection of colorectal polyps helps to drastically reduces mo
Autor:
Matthias Wolf, Luca Bogoni, Sarang Lakare, Balaji Krishnapuram, R. Bharat Rao, Murat Dundar, Jinbo Bi
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Most methods for classifier design assume that the training samples are drawn independently and identically from an unknown data generating distribution (i.i.d.), although this assumption is violated in several real life problems. Relaxing this i.i.d