Recent Advancements for Detection and Prediction of Breast Cancer Using Deep Learning: A Review?
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2742-5_5
Reference18 articles.
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3. Ehteshami Bejnordi B et al (2017) Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. JAMA 318(22):2199. https://doi.org/10.1001/jama.2017.14585
4. Nagi J, Abdul Kareem S, Nagi F, Khaleel Ahmed S (2010) Automated breast profile segmentation for ROI detection using digital mammograms. In: IEEE EMBS conference on biomedical engineering and sciences (IECBES), Kuala Lumpur, Malaysia, pp 87–92. https://doi.org/10.1109/IECBES.2010.5742205
5. Prasad SN, Houserkova D (2007) The role of various modalities in breast imaging. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 151(2):209–218. https://doi.org/10.5507/bp.2007.036
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