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Mammographic density is a potential predictive marker of pathological response after neoadjuvant chemotherapy in breast cancer

• Authors : Sophia Zackrisson; Daniel Förnvik; Ida Skarping

Subjects: Adult; Sweden; Neoadjuvant treatment

• Source: BMC CancerBMC Cancer, Vol 19, Iss 1, Pp 1-11 (2019)Skarping, I, Förnvik, D, Sartor, H, Heide-Jørgensen, U, Zackrisson, S & Borgquist, S 2019, 'Mammographic

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Correlation of mammographic density and serum calcium levels in patients with primary breast cancer

• Authors : Felix Heindl; Matthias W. Beckmann; Michael Uder

Subjects: 2. Zero hunger; Breast Neoplasms; Middle Aged

• Source: Cancer Med

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A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification

• Authors : QUI Ain; Bing Xue; Harith Al-Sahaf

Subjects: Breast Cancer; Cancer

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Predicting mammographic density with a linear ultrasound transducer

• Authors : Behrens, A.; Fasching, P.A.; Schwenke, E.

• Source: Senologie - Zeitschrift für Mammadiagnostik und -therapie ; 41. Jahrestagung der Deutschen Gesellschaft für Senologie e.V. – Gemeinsam gegen Brustkrebs: optimale Behandlung für jede Patientin ;

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P-249 Impact of socio-professional factors on mammographic density in Tunisian women.

• Authors : Khadraoui, Linda; Rassas, Ines; Mahfoudh, Aouatef

• Source: Poster Presentations ; page A93.1-A93

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Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment

• Authors : Fergie, Martin; Berks, Michael; Harkness, Elaine F. ...

• Source: 14th International Workshop on Breast Imaging (IWBI 2018) ; page 70

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Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?

• Authors : Wong Sik Hee, Joseph Ryan; Harkness, Elaine F.; Gadde, Soujanya ...

• Source: SPIE Proceedings ; Medical Imaging 2017: Computer-Aided Diagnosis ; volume 10134, page 101342P ; ISSN 0277-786X

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PP01 International pooling project of mammographic density - insights of a marker of breast cancer risk from 22 diverse countries

• Authors : Burton, A; Silva, I dos Santos; Hipwell, J

• Source: SSM 2015 Posters ; page A53.2-A54

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Combination of different texture features for mammographic density classification

• Authors : Liasis, G.; Pattichis, C.S.; Petroudi, S.

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Dietary patterns across the life course, mammographic density and implications for breast cancer: results from a British prospective cohort

• Authors : Mishra, G; Dos Santos Silva, I; McNaughton, S

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