Search Results - "Hoffmeister, Jeffrey W."

Effect of Computer-aided Detection for CT Colonography in a Multireader, Multicase Trial by DACHMAN, Abraham H, OBUCHOWSKI, Nancy A, HOFFMEISTER, Jeffrey W, HINSHAW, J. Louis, FREW, Michael I, WINTER, Thomas C, VAN UITERT, Robert L, PERIASWAMY, Senthil, SUMMERS, Ronald M, HILLMAN, Bruce J

“…To assess the effect of using computer-aided detection (CAD) in second-read mode on readers' accuracy in interpreting computed tomographic (CT) colonographic…”
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Impact of Breast Density on Computer-Aided Detection for Breast Cancer by Brem, Rachel F, Hoffmeister, Jeffrey W, Rapelyea, Jocelyn A, Zisman, Gilat, Mohtashemi, Kevin, Jindal, Guarav, DiSimio, Martin P, Rogers, Steven K

“…Our aim was to determine whether breast density affects the performance of a computer-aided detection (CAD) system for the detection of breast cancer. Nine…”
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Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis by Conant, Emily F, Toledano, Alicia Y, Periaswamy, Senthil, Fotin, Sergei V, Go, Jonathan, Boatsman, Justin E, Hoffmeister, Jeffrey W

“…To evaluate the use of artificial intelligence (AI) to shorten digital breast tomosynthesis (DBT) reading time while maintaining or improving accuracy. A deep…”
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Detection of Breast Cancer with Full-Field Digital Mammography and Computer-Aided Detection by The, Juliette S, Schilling, Kathy J, Hoffmeister, Jeffrey W, Friedmann, Euvondia, McGinnis, Ryan, Holcomb, Richard G

“…The purpose of this study was to evaluate computer-aided detection (CAD) performance with full-field digital mammography (FFDM). CAD (Second Look, version 7.2)…”
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Evaluation of breast cancer with a computer‐aided detection system by mammographic appearance and histopathology by Brem, Rachel F., Rapelyea, Jocelyn A., Zisman, Gilat, Hoffmeister, Jeffrey W., DeSimio, Martin P.

“…BACKGROUND The objective of this study was to evaluate the performance of a computer‐aided detection (CAD) system for the detection of breast cancer, based on…”
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A Computer-Aided Detection System for the Evaluation of Breast Cancer by Mammographic Appearance and Lesion Size by Brem, Rachel F, Hoffmeister, Jeffrey W, Zisman, Gilat, DeSimio, Martin P, Rogers, Steven K

“…The purpose of our study was to evaluate the performance of a computer-aided detection (CAD) system in the detection of breast cancer based on mammographic…”
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Computer-aided detection system applied to full-field digital mammograms by Bolivar, Alfonso Vega, Gomez, Sonia Sánchez, Merino, Paula, Alonso-Bartolomé, Pilar, Garcia, Estrella Ortega, Cacho, Pedro Muñoz, Hoffmeister, Jeffrey W

“…although mammography remains the mainstay for breast cancer screening, it is an imperfect examination with a sensitivity of 75-92% for breast cancer…”
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Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliency by Polakowski, W.E., Cournoyer, D.A., Rogers, S.K., DeSimio, M.P., Ruck, D.W., Hoffmeister, J.W., Raines, R.A.

“…A new model-based vision (MBV) algorithm is developed to find regions of interest (ROI's) corresponding to masses in digitized mammograms and to classify the…”
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Detection of Breast Cancer with Full-Field Digital Mammography and Computer-Aided Detection : Women's Imaging by THE, Juliette S, SCHILLING, Kathy J, HOFFMEISTER, Jeffrey W, FRIEDMANN, Euvondia, MCGINNIS, Ryan, HOLCOMB, Richard G

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Effect of Computer-aided Detection for CT Colonography in a Multireader, Multicase Trial1 by Dachman, Abraham H., Obuchowski, Nancy A., Hoffmeister, Jeffrey W., Hinshaw, J. Louis, Frew, Michael I., Winter, Thomas C., Van Uitert, Robert L., Periaswamy, Senthil, Summers, Ronald M., Hillman, Bruce J.

“…The use of computer-aided detection results in a significant improvement in overall reader performance…”
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Determining Efficacy of Mammographic CAD Systems by Hoffmeister, Jeffrey W., Rogers, Steven K., DeSimio, Martin P., Brem, Rachel F.

“…Computer-aided detection (CAD) system sensitivity estimates without a radiologist in the loop are straightforward to measure but are extremely data dependent…”
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Using neural networks to select wavelet features for breast cancer diagnosis by Kocur, C.M., Rogers, S.K., Myers, L.R., Burns, T., Kabrisky, M., Hoffmeister, J.W., Bauer, K.W., Steppe, J.M.

“…This study focuses on improving microcalcification classification by establishing an efficient computer-aided diagnosis system that extracts Daubechies-4 and…”
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Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and Scope-based Normalization Features by Yin, Yin, Fotin, Sergei V, Haldankar, Hrishikesh, Hoffmeister, Jeffrey W, Periaswamy, Senthil

“…A novel hierarchical model is introduced to solve a general problem of detecting groups of similar objects. Under this model, detection of groups is performed…”
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Three-dimensional surface reconstructions using a general purpose image processing system by Hoffmeister, J W, Rinehart, G C, Vannier, M W

“…A general purpose two-dimensional (2-D) image processing software system was used to produce high quality three-dimensional (3-D) surface reconstructions from…”
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