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Deep convolutional neural networks for mammography: advances, challenges and applications
D Abdelhafiz, C Yang, R Ammar, S Nabavi - BMC bioinformatics, 2019 - Springer
Background The limitations of traditional computer-aided detection (CAD) systems for
mammography, the extreme importance of early detection of breast cancer and the high …
mammography, the extreme importance of early detection of breast cancer and the high …
[KNIHA][B] Artificial intelligence in medical imaging: From theory to clinical practice
L Morra, S Delsanto, L Correale - 2019 - taylorfrancis.com
Choice Recommended Title, January 2021 This book, written by authors with more than a
decade of experience in the design and development of artificial intelligence (AI) systems in …
decade of experience in the design and development of artificial intelligence (AI) systems in …
[PDF][PDF] Real time mass classification for mammographic images: a DrivenCADx scheme
ABSTRACT Computer-Aided Diagnosis (CADx) schemes have been proposed to serve as a
supplementary image analysis tool in mammography. Experienced radiologists tend to be …
supplementary image analysis tool in mammography. Experienced radiologists tend to be …
[KNIHA][B] Deep Learning Systems for Automated Lesion Detection, Segmentation, and Classification in Mammography
DAH Abdelhafiz - 2020 - search.proquest.com
Breast cancer is the second leading cause of cancer deaths among women in the USA.
Mammography is the preferred screening tool for breast cancer and accounts for the …
Mammography is the preferred screening tool for breast cancer and accounts for the …
[CITÁCIA][C] Ανάπτυξη συστήματος διάγνωσης μικροαποτιτανώσεων σε ακτινογραφίες μαστογραφίας με χρήση τεχνικών βαθιάς μάθησης και μηχανών διανυσμάτων …
Α Κατσένιος - 2021