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Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

Scientific reports, 2017-08, Vol.7 (1), p.8738-12, Article 8738

2017

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Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy

Radiology, 2007-03, Vol.242 (3), p.716

2007

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Similarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images

Medical physics (Lancaster), 2011-04, Vol.38 (4), p.1820-1831

2011

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Lobular carcinoma in situ or atypical lobular hyperplasia at core-needle biopsy: is excisional biopsy necessary?

Radiology, 2004-06, Vol.231 (3), p.813

2004

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Characterization of Breast Masses in Digital Breast Tomosynthesis and Digital Mammograms

Academic radiology, 2017-11, Vol.24 (11), p.1372-1379

2017

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Clinical and radiologic assessments to predict breast cancer pathologic complete response to neoadjuvant chemotherapy

Breast cancer research and treatment, 2005-08, Vol.92 (3), p.231-238

2005

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A new automated method for the segmentation and characterization of breast masses on ultrasound images

Medical physics (Lancaster), 2009-05, Vol.36 (5), p.1553-1565

2009

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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

2004

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Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study

Radiology, 1999-09, Vol.212 (3), p.817

1999

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A Similarity Study of Interactive Content-Based Image Retrieval Scheme for Classification of Breast Lesions

IEICE Transactions on Information and Systems, 2016/06/01, Vol.E99.D(6), pp.1663-1670

2016

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Computerized characterization of breast masses on three-dimensional ultrasound volumes

Medical physics (Lancaster), 2004-04, Vol.31 (4), p.744-754

2004

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Urinary bladder cancer staging in CT urography using machine learning

Medical physics (Lancaster), 2017-11, Vol.44 (11), p.5814-5823

2017

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Computer-Aided Detection Systems for Breast Masses: Comparison of Performances on Full-Field Digital Mammograms and Digitized Screen-Film Mammograms

Academic radiology, 2007-06, Vol.14 (6), p.659-669

2007

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Triple receptor-negative breast cancer: imaging and clinical characteristics

American journal of roentgenology (1976), 2012-08, Vol.199 (2), p.458

2012

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Digital breast tomosynthesis: observer performance of clustered microcalcification detection on breast phantom images acquired with an experimental system using variable scan angles, angular increments, and number of projection views

Radiology, 2014-12, Vol.273 (3), p.675

2014

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Multi-modality CADx

Academic radiology, 2009, Vol.16 (7), p.810-818

2009

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Digital breast tomosynthesis: studies of the effects of acquisition geometry on contrast-to-noise ratio and observer preference of low-contrast objects in breast phantom images

Physics in medicine & biology, 2014-10, Vol.59 (19), p.5883-5902

2014

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Characterization of Breast Masses in Digital Breast Tomosynthesis and Digital Mammograms: An Observer Performance Study

Academic radiology, 2017-11, Vol.24 (11), p.1372-1379

2017

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Deep Learning Approach for Assessment of Bladder Cancer Treatment Response

Tomography (Ann Arbor), 2019-03, Vol.5 (1), p.201-208

2019

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Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network-A Pilot Study

Tomography (Ann Arbor), 2016-12, Vol.2 (4), p.421-429

2016

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Outcomes of solid palpable masses assessed as BI-RADS 3 or 4A: a retrospective review

Breast cancer research and treatment, 2014-09, Vol.147 (2), p.311-316

2014

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Mammographic density measured with quantitative computer-aided method: comparison with radiologists' estimates and BI-RADS categories

Radiology, 2006-09, Vol.240 (3), p.656

2006

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Bilateral breast cancer: early detection with mammography

Radiology, 1995-08, Vol.196 (2), p.427

1995

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A similarity study of content-based image retrieval system for breast cancer using decision tree

Medical physics (Lancaster), 2013-01, Vol.40 (1), p.012901-n/a

2013

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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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Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy

Similarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images

Lobular carcinoma in situ or atypical lobular hyperplasia at core-needle biopsy: is excisional biopsy necessary?

Characterization of Breast Masses in Digital Breast Tomosynthesis and Digital Mammograms

Clinical and radiologic assessments to predict breast cancer pathologic complete response to neoadjuvant chemotherapy

A new automated method for the segmentation and characterization of breast masses on ultrasound images

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

Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study

A Similarity Study of Interactive Content-Based Image Retrieval Scheme for Classification of Breast Lesions

Computerized characterization of breast masses on three-dimensional ultrasound volumes

Urinary bladder cancer staging in CT urography using machine learning

Computer-Aided Detection Systems for Breast Masses: Comparison of Performances on Full-Field Digital Mammograms and Digitized Screen-Film Mammograms

Triple receptor-negative breast cancer: imaging and clinical characteristics

Digital breast tomosynthesis: observer performance of clustered microcalcification detection on breast phantom images acquired with an experimental system using variable scan angles, angular increments, and number of projection views

Multi-modality CADx

Digital breast tomosynthesis: studies of the effects of acquisition geometry on contrast-to-noise ratio and observer preference of low-contrast objects in breast phantom images

Characterization of Breast Masses in Digital Breast Tomosynthesis and Digital Mammograms: An Observer Performance Study

Deep Learning Approach for Assessment of Bladder Cancer Treatment Response

Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network-A Pilot Study

Outcomes of solid palpable masses assessed as BI-RADS 3 or 4A: a retrospective review

Mammographic density measured with quantitative computer-aided method: comparison with radiologists' estimates and BI-RADS categories

Bilateral breast cancer: early detection with mammography

A similarity study of content-based image retrieval system for breast cancer using decision tree

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

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