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Normal breast identification in screening mammography: A study on 18 000 images.

, , , , , , and . BIBM, page 325-330. IEEE Computer Society, (2014)

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A New Local Adaptive Mass Detection Algorithm in Mammograms., , and . BIOSIGNALS, page 133-137. SciTePress, (2013)An automatic mammogram system: from screening to diagnosis. University of Porto, Portugal, (2015)Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification., , , , and . IJCNN, page 1-8. IEEE, (2018)Max-Coupled Learning: Application to Breast Cancer., and . ICMLA (1), page 13-18. IEEE Computer Society, (2011)Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training., , and . ICIP, page 1378-1382. IEEE, (2018)Max-Ordinal Learning., and . IEEE Trans. Neural Networks Learn. Syst., 25 (7): 1384-1389 (2014)Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches., , , , and . BIBE, page 746-751. IEEE, (2020)Interpreting deep learning models for ordinal problems., , , and . ESANN, (2018)A Personal Robot as an Improvement to the Customers' In-store Experience., , , , , , , , , and 4 other author(s). SMARTGREENS/VEHITS (Selected Papers), volume 921 of Communications in Computer and Information Science, page 296-317. Springer, (2017)Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs., , , and . DICTA, page 1-6. IEEE, (2019)