Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection. - Wikidata - wikimedia - TriplyDB

Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.

Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.

http://www.wikidata.org/entity/Q37736442

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BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion

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Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.

http://www.wikidata.org/entity/Q37736442

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article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 20 February 2017

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Foundation and methodologies i ...... s for breast cancer detection.

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Foundation and methodologies i ...... s for breast cancer detection.

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type

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Foundation and methodologies i ...... s for breast cancer detection.

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Foundation and methodologies i ...... s for breast cancer detection.

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Foundation and methodologies i ...... s for breast cancer detection.

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Foundation and methodologies i ...... s for breast cancer detection.

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Foundation and methodologies i ...... s for breast cancer detection.

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Abdul Rahman B Ramli

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Afsaneh Jalalian

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Babak Karasfi

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M Iqbal B Saripan

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Rozi Mahmud

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Syamsiah Mashohor

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Screening for breast cancer: an update for the U.S. Preventive Services Task Force

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Characterization of solid breast masses: use of the sonographic breast imaging reporting and data system lexicon.

Current status of breast MR imaging. Part 2. Clinical applications.

Early detection of breast cancer: benefits and risks of supplemental breast ultrasound in asymptomatic women with mammographically dense breast tissue. A systematic review.

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

Computer-aided detection (CAD) for breast MRI: evaluation of efficacy at 3.0 T.

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113-137

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scholarly article

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10.17179/EXCLI2016-701

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16

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2017-02-20T00:00:00Z

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28435432

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