Search Results - "Clarke, LP"

MRI segmentation: Methods and applications by Clarke, L.P., Velthuizen, R.P., Camacho, M.A., Heine, J.J., Vaidyanathan, M., Hall, L.O., Thatcher, R.W., Silbiger, M.L.

“…The current literature on MRI segmentation methods is reviewed. Particular emphasis is placed on the relative merits of single image versus multispectral…”
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National Cancer Institute initiative: Lung image database resource for imaging research by Clarke, L P, Croft, B Y, Staab, E, Baker, H, Sullivan, D C

“…Preliminary clinical studies suggest that spiral computed tomography (CT) of the lungs can improve early detection of lung cancer in high-risk individuals…”
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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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Review of MR image segmentation techniques using pattern recognition by Bezdek, J C, Hall, L O, Clarke, L P

“…This paper has reviewed, with somewhat variable coverage, the nine MR image segmentation techniques itemized in Table II. A wide array of approaches have been…”
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Validity-guided (re)clustering with applications to image segmentation by Bensaid, A.M., Hall, L.O., Bezdek, J.C., Clarke, L.P., Silbiger, M.L., Arrington, J.A., Murtagh, R.F.

“…When clustering algorithms are applied to image segmentation, the goal is to solve a classification problem. However, these algorithms do not directly optimize…”
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Partially supervised clustering for image segmentation by Bensaid, Amine M., Hall, Lawrence O., Bezdek, James C., Clarke, Laurence P.

“…All clustering algorithms process unlabeled data and, consequently, suffer from two problems: (P1) choosing and validating the correct number of clusters and…”
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Image feature extraction for mass detection in digital mammography: Influence of wavelet analysis by Qian, Wei, Li, Lihua, Clarke, Laurence P.

“…Rationale and objectives. The objective of this work is to evaluate the importance of image preprocessing, using multiresolution and multiorientation wavelet…”
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Markov random field for tumor detection in digital mammography by Li, H.D., Kallergi, M., Clarke, L.P., Jain, V.K., Clark, R.A.

“…A technique is proposed for the detection of tumors in digital mammography. Detection is performed in two steps: segmentation and classification. In…”
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On the statistical nature of mammograms by Heine, John J., Deans, Stanley R., Velthuizen, Robert P., Clarke, Laurence P.

“…We show that digitized mammograms can be considered as evolving from a simple process. A given image results from passing a random input field through a linear…”
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Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications by Baoyu Zheng, Wei Qian, Clarke, L.P.

“…A computationally efficient mixed feature based neural network (MFNN) is proposed for the detection of microcalcification clusters (MCCs) in digitized…”
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MRI Measurement of Brain Tumor Response: Comparison of Visual Metric and Automatic Segmentation by Clarke, Laurence P., Velthuizen, Robert P., Clark, Matt, Gaviria, Jorge, Hall, Larry, Goldgof, Dmitry, Murtagh, Reed, Phuphanich, S., Brem, Steven

“…An automatic magnetic resonance imaging (MRI) multispectral segmentation method and a visual metric are compared for their effectiveness to measure tumor…”
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Application of fuzzy c-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme by Phillips, W.E., Velthuizen, R.P., Phuphanich, S., Hall, L.O., Clarke, L.P., Silbiger, M.L.

“…The application of a raw data-based, operator-independent MR segmentation technique to differentiate boundaries of tumor from edema or hemorrhage is…”
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Molecular rearrangements of diynes coordinated to triosmium carbonyl clusters: the synthesis and structural characterisation of [Os 3(μ-H)(CO) 10{μ 3-η 1:η 3:η 1-Ph(C)C 9H 6)}], [Os 3(μ-H)(CO) 9{μ 3-η 1:η 3:η 1-Ph(C)C 9H 6)}] and [Os 3(μ-H)(CO) 8(MeCN){μ 3-η 1:η 3:η 1-Ph(C)C 9H 6)}] by Clarke, Lionel P, Davies, John E, Krupenya, Dmitrii V, Raithby, Paul R, Shields, Gregory P, Starova, Galina L, Tunik, Sergey P

“…The reaction between [Os 3H 2(CO) 10] and 1,4-diphenylbuta-1,3-diyne yields two isomers of the triosmium cluster [Os 3(μ-H)(CO) 10{μ 3-η 1:η 3:η 1-Ph(C)C 9H…”
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Foreword: Potential of Optical Imaging for Early Cancer Detection, Screening, Diagnosis and Image Guided Treatment by Clarke, Laurence P., Baker, Houston, Kelloff, Gary

“…This issue of the journal is dedicated to outline emerging optical technologies that have the potential to improve early cancer detection, screening,…”
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Digital mammography: computer-assisted diagnosis method for mass detection with multiorientation and multiresolution wavelet transforms by Li, L, Qian, W, Clarke, L P

“…The authors evaluated a modular computer-assisted diagnosis (CAD) method for mass detection that uses computation of features in three domains (gray level,…”
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Multiresolution statistical analysis of high-resolution digital mammograms by Heine, J.J., Deans, S.R., Cullers, D.K., Stauduhar, R., Clarke, L.P.

“…A multiresolution statistical method for identifying clinically normal tissue in digitized mammograms is used to construct an algorithm for separating normal…”
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Matching clinical and biological needs with emerging imaging technologies by Vannier, M.W., Staab, E.V., Clarke, L.P.

“…Acquisition, analysis, and integration of medical images with nonimage biomedical information are essential for research and clinical practice…”
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Reaction of [Os3H2(CO)10] with the diyne Me3SiC2C2SiMe3 and the reactivity of the products towards [Co2(CO)8]: the X-ray structures of [Os3(μ-H)(CO)10{μ-η1-η2-HC2(SiMe3)C2(SiMe3)}], [Os3(μ-CO)(CO)9{μ3-η2-Me3SiC2C2SiMe3}] and [Os3(μ-H)(CO)9{μ3-η1:η2-;μ-η2-Me3SiC2C2[Co2(CO)6]}] by Clarke, Lionel P, Davies, John E, Raithby, Paul R, Rennie, Moira-Ann, Shields, Gregory P, Sparr, Emma

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Wavelet-based neural network with fuzzy-logic adaptivity for nuclear image restoration by Wei Qian, Clarke, L.P.

“…A novel wavelet-based neural network with fuzzy-logic adaptivity (WNNFA) is proposed for image restoration using a nuclear medicine gamma camera based on the…”
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Tree-structured nonlinear filters in digital mammography by Wei Qian, Clarke, L.P., Kallergi, M., Clark, R.A.

“…A new class of nonlinear filters with more robust characteristics for noise suppression and detail preservation is proposed for processing digital mammographic…”
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