Search Results - "Armato, SG"

Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans by Armato, 3rd, Samuel G, Oxnard, Geoffrey R, Kocherginsky, Masha, Vogelzang, Nicholas J, Kindler, Hedy L, MacMahon, Heber

“…To evaluate the clinical acceptability of semiautomated methods for the measurement of mesothelioma tumor thickness in computed tomography (CT) scans. A…”
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Automated lung segmentation for thoracic CT impact on computer-aided diagnosis by Armato, 3rd, Samuel G, Sensakovic, William F

“…Automated lung segmentation in thoracic computed tomography scans is essential for the development of computer-aided diagnostic (CAD) methods. A core…”
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Lung image database consortium: developing a resource for the medical imaging research community by Armato, 3rd, Samuel G, McLennan, Geoffrey, McNitt-Gray, Michael F, Meyer, Charles R, Yankelevitz, David, Aberle, Denise R, Henschke, Claudia I, Hoffman, Eric A, Kazerooni, Ella A, MacMahon, Heber, Reeves, Anthony P, Croft, Barbara Y, Clarke, Laurence P

“…To stimulate the advancement of computer-aided diagnostic (CAD) research for lung nodules in thoracic computed tomography (CT), the National Cancer Institute…”
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Vessel tree reconstruction in thoracic CT scans with application to nodule detection by Agam, G., Armato, S.G., Changhua Wu

“…Vessel tree reconstruction in volumetric data is a necessary prerequisite in various medical imaging applications. Specifically, when considering the…”
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Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography by Suzuki, Kenji, Armato, Samuel G., Li, Feng, Sone, Shusuke, Doi, Kunio

“…In this study, we investigated a pattern-recognition technique based on an artificial neural network (ANN), which is called a massive training artificial…”
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Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program by Armato, 3rd, Samuel G, Li, Feng, Giger, Maryellen L, MacMahon, Heber, Sone, Shusuke, Doi, Kunio

“…To evaluate the performance of a fully automated computerized method for the detection of lung nodules in computed tomographic (CT) scans in the identification…”
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Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings by Li, Feng, Sone, Shusuke, Abe, Hiroyuki, MacMahon, Heber, Armato, 3rd, Samuel G, Doi, Kunio

“…To compare clinical, histopathologic, and imaging features of lung cancers missed at low-radiation-dose helical computed tomography (CT). Eighty-three primary…”
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Automated registration of ventilation-perfusion images with digital chest radiographs by Armato, 3rd, S G, Giger, M L, MacMahon, H, Chen, C T, Vyborny, C J

“…The authors have developed an automated computerized technique for registering radionuclide lung scan images with digital chest radiographs. Threshold analysis…”
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Automated detection of lung nodules in CT scans: Preliminary results by Armato, Samuel G., Giger, Maryellen L., MacMahon, Heber

“…We have developed a fully automated computerized method for the detection of lung nodules in helical computed tomography (CT) scans of the thorax. This method…”
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Computerized detection of pulmonary nodules on CT scans by Armato, 3rd, S G, Giger, M L, Moran, C J, Blackburn, J T, Doi, K, MacMahon, H

“…Helical computed tomography (CT) is the most sensitive imaging modality for detection of pulmonary nodules. However, a single CT examination produces a large…”
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Modeling of mesothelioma growth demonstrates weaknesses of current response criteria by Oxnard, Geoffrey R., Armato, Samuel G., Kindler, Hedy L.

“…Applicability of the Response Evaluation Criteria in Solid Tumors (RECIST) to the geometry of mesothelioma has been recently investigated. A “modified RECIST”…”
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Guest editorial computer-aided diagnosis in medical imaging by Giger, M.L., Karssemeijer, N., Armato, S.G.

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Automated lung nodule classification following automated nodule detection on CT: A serial approach by Armato, Samuel G., Altman, Michael B., Wilkie, Joel, Sone, Shusuke, Li, Feng, Doi, Kunio, Roy, Arunabha S.

“…We have evaluated the performance of an automated classifier applied to the task of differentiating malignant and benign lung nodules in low-dose helical…”
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Variability in Mesothelioma Tumor Response Classification by Armato, Samuel G., III, Ogarek, Joseph L, Starkey, Adam, Vogelzang, Nicholas J, Kindler, Hedy L, Kocherginsky, Masha, MacMahon, Heber

“…The objective of our study was to evaluate observer variability in the measurement of temporal change in mesothelioma tumor thickness and in the resulting…”
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Measurement of mesothelioma on thoracic CT scans: A comparison of manual and computer-assisted techniques by Armato, Samuel G., Oxnard, Geoffrey R., MacMahon, Heber, Vogelzang, Nicholas J., Kindler, Hedy L., Kocherginsky, Masha, Starkey, Adam

“…Our purpose in this study was to evaluate the variability of manual mesothelioma tumor thickness measurements in computed tomography (CT) scans and to assess…”
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Automated detection of lung nodules in CT scans: Effect of image reconstruction algorithm by Armato, Samuel G., Altman, Michael B., La Rivière, Patrick J.

“…We have investigated the effect of computed tomography (CT) image reconstruction algorithm on the performance of our automated lung nodule detection method…”
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Automated detection of lung nodules in CT scans: False-positive reduction with the radial-gradient index by Roy, Arunabha S., Armato, Samuel G., Wilson, Andrew, Drukker, Karen

“…We present a number of approaches based on the radial gradient index (RGI) to achieve false-positive reduction in automated CT lung nodule detection. A…”
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Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium by Dodd, Lori E, Wagner, Robert F, Armato, 3rd, Samuel G, McNitt-Gray, Michael F, Beiden, Sergey, Chan, Heang-Ping, Gur, David, McLennan, Geoffrey, Metz, Charles E, Petrick, Nicholas, Sahiner, Berkman, Sayre, Jim

“…Cancer of the lung and bronchus is the leading fatal malignancy in the United States. Five-year survival is low, but treatment of early stage disease…”
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Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1) by Armato, 3rd, Samuel G, Roy, Arunabha S, Macmahon, Heber, Li, Feng, Doi, Kunio, Sone, Shusuke, Altman, Michael B

“…The purpose of this study was to evaluate the performance of a fully automated lung nodule detection method in a large database of low-dose computed tomography…”
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Computerized analysis of mesothelioma on CT scans by Armato, Samuel G.

“…Computed tomography (CT) has become an essential tool for monitoring the progression of mesothelioma tumor or a patient's response to treatment. Despite the…”
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