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2. Provision of follow-up care for women with a history of breast cancer following the 2016 position paper by the Italian Group for Mammographic Screening and the Italian College of Breast Radiologists by SIRM: a survey of Senonetwork Italian breast centres
3. Fort Worth's New Paper-friendly Modern
4. Special Invited Paper. Additive Logistic Regression: A Statistical View of Boosting: Discussion
5. Press-released papers are more downloaded and cited
6. The 2016 Assisi Think Tank Meeting on breast cancer: white paper
7. Position paper on screening for breast cancer by the European Society of Breast Imaging (EUSOBI) and 30 national breast radiology bodies from Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Israel, Lithuania, Moldova, The Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Spain, Sweden, Switzerland and Turkey
8. Data Dredging, Bias, Or Confounding: They Can All Get You Into The Bmj And The Friday Papers
9. Machine learning techniques in breast cancer preventive diagnosis: a review
10. Recommendations for breast imaging follow-up of women with a previous history of breast cancer: position paper from the Italian Group for Mammography Screening (GISMa) and the Italian College of Breast Radiologists (ICBR) by SIRM
11. Note of clarification of data in the paper entitled association between BRIP1 (BACH1) polymorphisms and breast cancer risk
12. Guidance for the prevention of bone loss and fractures in postmenopausal women treated with aromatase inhibitors for breast cancer: an ESCEO position paper
13. Hormonelle Kontrazeptiva – immer noch ein Forschungsgegenstand: Stellungnahme zum Beitrag von C. Giersig: Gestagene und Brustkrebs. Die fehlenden Puzzleteile
14. Abstracts of Papers Presented at the 35th Annual Meeting of the Association for Applied Psychophysiology and Biofeedback
15. Psychosocial experiences of breast cancer survivors: a meta-review
16. Discussion of Paper by P.K. Andersen, Ø. Borgan, R. Gill and N. Keiding
17. Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
18. Depot medroxyprogesterone acetate and breast cancer: a systematic review
19. Hybrid sigmoid activation function and transfer learning assisted breast cancer classification on histopathological images
20. Exploring the potential of machine learning in gynecological care: a review
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