Search Results - "Giger, M.L."

Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound by Drukker, K., Sennett, C.A., Giger, M.L.

“…The purpose of this research was to demonstrate the feasibility of a computerized auto-assessment method in which a computer-aided diagnosis (CAD x ) system…”
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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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Ideal observer approximation using Bayesian classification neural networks by Kupinski, M.A., Edwards, D.C., Giger, M.L., Metz, C.E.

“…It is well understood that the optimal classification decision variable is the likelihood ratio or any monotonic transformation of the likelihood ratio. An…”
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Computer-aided diagnosis of breast lesions in medical images by Giger, M.L.

“…Given current error rates, this article surveys various approaches and techniques for improved breast lesion diagnosis in medical images, including…”
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Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis by Zhimin Huo, Giger, M.L., Vyborny, C.J.

“…Purpose: To investigate the potential usefulness of special view mammograms in the computer-aided diagnosis of mammographic breast lesions. Materials and…”
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Automated seeded lesion segmentation on digital mammograms by Kupinski, M.A., Giger, M.L.

“…Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. The authors have developed two novel…”
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Computerized mass detection for digital breast tomosynthesis directly from the projection images by Reiser, I., Nishikawa, R. M., Giger, M. L., Wu, T., Rafferty, E. A., Moore, R., Kopans, D. B.

“…Digital breast tomosynthesis (DBT) has recently emerged as a new and promising three-dimensional modality in breast imaging. In DBT, the breast volume is…”
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A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications by Weijie Chen, Metz, C.E., Giger, M.L., Drukker, K.

“…Classifier design for a given classification task needs to take into consideration both the complexity of the classifier and the size of the dataset that is…”
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Automatic segmentation of liver structure in CT images by Bae, K T, Giger, M L, Chen, C T, Kahn, Jr, C E

“…The segmentation and three-dimensional representation of the liver from a computed tomography (CT) scan is an important step in many medical applications, such…”
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A multi-scale 3D radial gradient filter for computerized mass detection in digital tomosynthesis breast images by Reiser, I., Nishikawa, R.M., Giger, M.L., Kopans, D.B., Rafferty, E.A., Wu, T., Moore, R.

“…We have developed a pre-selection algorithm to identify mass lesion candidates in digital breast tomosynthesis (DBT) images. This algorithm is designed to…”
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Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering by Reiser, I., Nishikawa, R.M., Giger, M.L., Rafferty, E.A., Kopans, D.B., Moore, R., Wu, T.

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Investigation of regularized neural networks for the computerized detection of mass lesions in digital mammograms by Kupinski, M.A., Giger, M.L.

“…Computerized schemes are currently being developed at the University of Chicago to detect mass lesions in digital mammograms. Artificial neural networks play…”
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A fuzzy c-means (FCM) based algorithm for intensity inhomogeneity correction and segmentation of MR images by Chen, W., Giger, M.L.

“…Magnetic resonance images are often corrupted by intensity inhomogeneity, which manifests itself as slow intensity variations of the same tissue over the image…”
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Feature selection and classifiers for the computerized detection of mass lesions in digital mammography by Kupinski, M.A., Giger, M.L.

“…We have investigated various methods of feature selection for two different data classifiers used in the computerized detection of mass lesions in digital…”
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Evaluating the EM algorithm for image processing using a human visual fidelity criterion by Brailean, J.C., Sullivan, B.J., Chen, C.T., Giger, M.L.

“…A new image quality metric consistent with the properties of the human visual system is derived. Using the EM algorithm, the authors restore a blurred image…”
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Artificial neural networks in breast cancer diagnosis: merging of computer-extracted features from breast images by Giger, M.L., Zhimin Huo

“…We have developed a computer aided diagnosis method for differentiating malignant from benign masses. The computerized method outputs an estimated likelihood…”
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Computer-aided detection of clustered microcalcifications by Nishikawa, R.M., Jiang, Y., Giger, M.L., Doi, K., Vyborny, C.J., Schmidt, R.A.

“…A computerized technique is being developed to automatically detect clustered microcalcifications on digital mammograms. The method consists of three steps…”
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Computer-aided diagnosis: analysis of mammographic parenchymal patterns and classification of masses on digitized mammograms by Zhimin Huo, Giger, M.L., Vyborny, C.J., Olopade, F.I., Wolverton, D.E.

“…Identification and enhanced surveillance of women at high risk may lead to earlier detection of breast cancer. A computerized method was developed to identify…”
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A multiobjective approach to optimizing computerized detection schemes by Anastasio, M.A., Kupinski, M.A., Nishikawa, R.M., Giger, M.L.

“…Computerized detection and classification schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions…”
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Relative effects of resolution and quantization on the quality of compressed medical images by Sullivan, B.J., Ansari, R., Giger, M.L., MacMahon, H.

“…Medical image scanners produce digitized information at different spatial resolutions, and this affects the perceived image quality after image compression…”
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