Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

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A deep learning method for classifying mammographic breast density categories.

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Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

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Understanding Clinical Mammogr ...... : a Deep Learning Perspective.

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Understanding Clinical Mammogr ...... : a Deep Learning Perspective.

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Understanding Clinical Mammogr ...... : a Deep Learning Perspective.

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Understanding Clinical Mammogr ...... : a Deep Learning Perspective.

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P2093

Aly A Mohamed

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Hong Peng

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Rachel C Jankowitz

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Shandong Wu

http://www.w3.org/2001/XMLSchema#string

Yahong Luo

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P2860

Deep learning

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

Breast Imaging Reporting and Data System: inter- and intraobserver variability in feature analysis and final assessment.

Applications and literature review of the BI-RADS classification.

Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Mammographic density-a review on the current understanding of its association with breast cancer.

ROC methodology in radiologic imaging.

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s10278-017-0022-2

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scholarly article

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10.1007/S10278-017-0022-2

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2017-09-20T00:00:00Z

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deep learning

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Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

about

P2860

P2860

Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

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