Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Philip N, Cascade"'
Autor:
Anil K. Attili, Naama Bogot, Jadranka Stojanovska, Lubomir M. Hadjiiski, Thomas Song, Luba Frank, Philip N. Cascade, Berkman Sahiner, Heang Ping Chan, Ella A. Kazerooni, Ted W. Way, Chad Poopat, Aamer Chughtai
Publikováno v:
Academic Radiology. 17:323-332
The use of computed tomographic (CT) imaging for lung cancer screening is an area of active research. CT imaging has been shown to be more sensitive for lung nodule detection than chest x-ray, especially for smaller nodules (1–4). Henschke et al (5
Autor:
Aamer Chughtai, Anil K. Attili, Jadranka Stojanovska, Thomas Song, Philip N. Cascade, Heang Ping Chan, Ella A. Kazerooni, Chad Poopat, Lubomir M. Hadjiiski, Luba Frank, Berkman Sahiner
Publikováno v:
Academic Radiology. 16:1518-1530
Rationale and Objectives To retrospectively investigate the effect of a computer-aided detection (CAD) system on radiologists' performance for detecting small pulmonary nodules in computed tomography (CT) examinations, with a panel of expert radiolog
Publikováno v:
American Journal of Roentgenology. 193:W14-W24
OBJECTIVE. This article aims to familiarize radiologists with novel treatment options for chronic heart failure that is unresponsive to medical therapy, such as mechanical cardiac assist devices, surgical procedures, resynchronization therapy with bi
Autor:
Philip N. Cascade, Smita Patel, Jun Wei, Chuan Zhou, Heang Ping Chan, Lubomir M. Hadjiiski, Berkman Sahiner, Ella A. Kazerooni, Aamer Chughtai
Publikováno v:
Medical Physics. 36:3385-3396
The authors are developing a computer-aided detection system for pulmonary emboli (PE) in computed tomographic pulmonary angiography (CTPA) scans. The pulmonary vessel tree is extracted using a 3D expectation-maximization segmentation method based on
Autor:
Aamer Chughtai, Philip N. Cascade, Berkman Sahiner, Naama Bogot, Ella A. Kazerooni, Lubomir M. Hadjiiski, Heang Ping Chan, Ted W. Way
Publikováno v:
Medical Physics. 36:3086-3098
The purpose of this work is to develop a computer-aided diagnosis (CAD) system to differentiate malignant and benign lung nodules on CT scans. A fully automated system was designed to segment the nodule from its surrounding structured background in a
Autor:
Chuan Zhou, Aamer Chughtai, Heang Ping Chan, Philip N. Cascade, Jun Ge, Jun Wei, Lubomir M. Hadjiiski, Smita Patel, Ella A. Kazerooni, Berkman Sahiner
Publikováno v:
Medical Physics. 34:4567-4577
The authors are developing a computerized pulmonary vessel segmentation method for a computer-aided pulmonary embolism (PE) detection system on computed tomographic pulmonary angiography (CTPA) images. Because PE only occurs inside pulmonary arteries
Autor:
Berkman Sahiner, Ella A. Kazerooni, Naama Bogot, Jiazheng Shi, Philip N. Cascade, Lubomir M. Hadjiiski, Jun Wei, Chuan Zhou, Heang Ping Chan, Yi-Ta Wu
Publikováno v:
Medical Physics. 34:1336-1347
An automated method is being developed in order to identify corresponding nodules in serial thoracic CT scans for interval change analysis. The method uses the rib centerlines as the reference for initial nodule registration. A spatially adaptive rib
Autor:
Philip N. Cascade, Arthur E. Stillman, Richard D. White, Pamela K. Woodard, Charles B. Higgins, E. Kent Yucel, J. Paul Finn, David A. Bluemke
Publikováno v:
Journal of the American College of Radiology. 3:665-676
Magnetic resonance imaging (MRI) is an established imaging modality, recognized for its value in the assessment and monitoring of a wide range of cardiac pathology. It can provide physiologic as well as anatomic information. Image interpretation requ
Autor:
Naama Bogot, Ella A. Kazerooni, Ted W. Way, Chuan Zhou, Lubomir M. Hadjiiski, Heang Ping Chan, Philip N. Cascade, Berkman Sahiner
Publikováno v:
Medical Physics. 33:2323-2337
We are developing a computer-aided diagnosis (CAD) system to classify malignant and benign lung nodules found on CT scans. A fully automated system was designed to segment the nodule from its surrounding structured background in a local volume of int
Autor:
Ella A. Kazerooni, Lubomir M. Hadjiiski, Jun Wei, Zhanyu Ge, Naama Bogot, Philip N. Cascade, Berkman Sahiner, Chuan Zhou, Heang Ping Chan
Publikováno v:
Medical Physics. 32:2443-2454
We are developing a computer-aided detection system to assist radiologists in the detection of lung nodules on thoracic computed tomography (CT) images. The purpose of this study was to improve the false-positive (FP) reduction stage of our algorithm