Quantitative radiology: automated measurement of polyp volume in computed tomography colonography using Hessian matrix-based shape extraction and volume growing

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Texture analysis of CT imaging for assessment of esophageal squamous cancer aggressiveness.

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Quantitative radiology: automated measurement of polyp volume in computed tomography colonography using Hessian matrix-based shape extraction and volume growing

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2015 nî lūn-bûn

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Quantitative radiology: automa ...... extraction and volume growing

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Quantitative radiology: automa ...... extraction and volume growing

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Quantitative radiology: automa ...... extraction and volume growing

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Quantitative radiology: automa ...... extraction and volume growing

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Quantitative radiology: automa ...... extraction and volume growing

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Quantitative radiology: automa ...... extraction and volume growing

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Abraham H Dachman

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Amin Zarshenas

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Junchi Liu

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Kenji Suzuki

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Mark L Epstein

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Nazanin Makkinejad

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Piotr R Obara

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Yisong Chen

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Statistical methods for assessing agreement between two methods of clinical measurement

Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology

Intraclass correlations: uses in assessing rater reliability

CT colonography: advanced computer-aided detection scheme utilizing MTANNs for detection of "missed" polyps in a multicenter clinical trial.

Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms.

Computerized liver volumetry on MRI by using 3D geodesic active contour segmentation.

Massive-training support vector regression and Gaussian process for false-positive reduction in computer-aided detection of polyps in CT colonography

Quantitative radiology: automated CT liver volumetry compared with interactive volumetry and manual volumetry.

Massive-training artificial neural network coupled with Laplacian-eigenfunction-based dimensionality reduction for computer-aided detection of polyps in CT colonography

Max-AUC feature selection in computer-aided detection of polyps in CT colonography.

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673-684

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scholarly article

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10.3978/J.ISSN.2223-4292.2015.10.06

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2015-10-01T00:00:00Z

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26682137

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automation

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4671965

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Quantitative radiology: automated measurement of polyp volume in computed tomography colonography using Hessian matrix-based shape extraction and volume growing

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P2860

P2860

Quantitative radiology: automated measurement of polyp volume in computed tomography colonography using Hessian matrix-based shape extraction and volume growing

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