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WE‐E‐217A‐03: Methodologies for Evaluation of Effects of CAD on Users

Medical Physics, 2012-06, Vol.39 (6), p.3962-3962

Petrick, N

2012

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Case study of an effective system of process synchronization within the framework of the development of an integrated scientific and technical programme

Journal of physics. Conference series, 2021-01, Vol.1749 (1), p.12047

2021

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Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer

IEEE transactions on medical imaging, 2009-06, Vol.28 (6), p.916-925

2009

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Change in lung tumor volume as a biomarker of treatment response: a critical review of the evidence

Annals of oncology, 2010-09, Vol.21 (9), p.1751-1755

2010

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Improvement of mammographic mass characterization using spiculation measures and morphological features

Medical physics (Lancaster), 2001-07, Vol.28 (7), p.1455-1465

2001

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Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization

IEEE transactions on medical imaging, 2001-12, Vol.20 (12), p.1275-1284

2001

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Computerized image analysis: Estimation of breast density on mammograms

Medical physics (Lancaster), 2001-06, Vol.28 (6), p.1056-1069

2001

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Comparing image detection algorithms using resampling

2006 3rd IEEE International Symposium on Biomedical Imaging--Macro to Nano : Arlington, WA, 6-9 April 2006, 2006, Vol.3, p.1312-1315

2006

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Data sets for the qualification of volumetric CT as a quantitative imaging biomarker in lung cancer

Optics express, 2010-07, Vol.18 (14), p.15267-15282

2010

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Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images

IEEE transactions on medical imaging, 1996-10, Vol.15 (5), p.598-610

1996

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Imaging as a Tumor Biomarker in Oncology Drug Trials for Lung Cancer: The FDA Perspective

Clinical pharmacology and therapeutics, 2008-10, Vol.84 (4), p.523-525

2008

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Analysis of temporal changes of mammographic features: Computer-aided classification of malignant and benign breast masses

Medical physics (Lancaster), 2001-11, Vol.28 (11), p.2309-2317

2001

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Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space

Physics in medicine & biology, 1995-05, Vol.40 (5), p.857-876

1995

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Classification of malignant and benign masses based on hybrid ART2LDA approach

IEEE transactions on medical imaging, 1999-12, Vol.18 (12), p.1178-1187

1999

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An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection

IEEE transactions on medical imaging, 1996-02, Vol.15 (1), p.59-67

1996

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Automated registration of breast lesions in temporal pairs of mammograms for interval change analysis—local affine transformation for improved localization

Medical physics (Lancaster), 2001-06, Vol.28 (6), p.1070-1079

2001

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Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer-aided diagnosis system

Medical physics (Lancaster), 2002-11, Vol.29 (11), p.2552-2558

2002

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Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification

Medical physics (Lancaster), 1996-10, Vol.23 (10), p.1685-1696

1996

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MO‐G‐12A‐01: Quantitative Imaging Metrology: What Should Be Assessed and How?

Medical physics (Lancaster), 2014-06, Vol.41 (6Part26), p.442-442

2014

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MO‐C‐12A‐01: Quantitative Imaging Initiatives: Why, Who, What, and How?

Medical physics (Lancaster), 2014-06, Vol.41 (6Part24), p.418-418

2014

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Selection of an optimal neural network architecture for computer-aided detection of microcalcifications—Comparison of automated optimization techniques

Medical physics (Lancaster), 2001-09, Vol.28 (9), p.1937-1948

2001

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WE‐D‐18A‐06: Estimating Local Noise Power Spectrum From a Few CT Scans

Medical physics (Lancaster), 2014-06, Vol.41 (6Part29), p.499-499

2014

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Proceedings of the 2023 Combined Workshop of the European Federation of the World’s Poultry Science Association (WPSA) Working Groups 6 (Incubation and Fertility) and 12 (Physiology), Wrocław, Poland, September 18–20, 2023

European Poultry Science (EPS), 2024-04, Vol.88

2024

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Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning

IEEE transactions on medical imaging, 2012-05, Vol.31 (5), p.1141-1153

2012

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Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trial

Radiology, 2004-04, Vol.231 (1), p.208-214

2004

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WE‐E‐217A‐03: Methodologies for Evaluation of Effects of CAD on Users

Case study of an effective system of process synchronization within the framework of the development of an integrated scientific and technical programme

Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer

Change in lung tumor volume as a biomarker of treatment response: a critical review of the evidence

Improvement of mammographic mass characterization using spiculation measures and morphological features

Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization

Computerized image analysis: Estimation of breast density on mammograms

Comparing image detection algorithms using resampling

Data sets for the qualification of volumetric CT as a quantitative imaging biomarker in lung cancer

Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images

Imaging as a Tumor Biomarker in Oncology Drug Trials for Lung Cancer: The FDA Perspective

Analysis of temporal changes of mammographic features: Computer-aided classification of malignant and benign breast masses

Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space

Classification of malignant and benign masses based on hybrid ART2LDA approach

An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection

Automated registration of breast lesions in temporal pairs of mammograms for interval change analysis—local affine transformation for improved localization

Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer-aided diagnosis system

Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification

MO‐G‐12A‐01: Quantitative Imaging Metrology: What Should Be Assessed and How?

MO‐C‐12A‐01: Quantitative Imaging Initiatives: Why, Who, What, and How?

Selection of an optimal neural network architecture for computer-aided detection of microcalcifications—Comparison of automated optimization techniques

WE‐D‐18A‐06: Estimating Local Noise Power Spectrum From a Few CT Scans

Proceedings of the 2023 Combined Workshop of the European Federation of the World’s Poultry Science Association (WPSA) Working Groups 6 (Incubation and Fertility) and 12 (Physiology), Wrocław, Poland, September 18–20, 2023

Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning

Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trial

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