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Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning

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Al-Azhar University – Gaza
Abunasser B.S.; AL-Hiealy M.R.J.; Zaqout I.S.; Abu-Naser S.S.
Abunasser, Basem S (57841947400); AL-Hiealy, Mohammed Rasheed J (57563212300); Zaqout, Ihab S (10638846000); Abu-Naser, Samy S (26533902900)
57841947400; 57563212300; 10638846000; 26533902900
2023
Asian Pacific Journal of Cancer Prevention
Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning
24
2
531
544
Asian Pacific Organization for Cancer Prevention
University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Abunasser B.S., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; AL-Hiealy M.R.J., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Zaqout I.S., Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; Abu-Naser S.S., Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
B.S. Abunasser; University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; email: p05210002@student.unimy.edu.my
146
10.31557/APJCP.2023.24.2.531
Breast cancer; convolution neural network; deep learning
Breast Neoplasms; Carcinoma, Ductal, Breast; Carcinoma, Lobular; Carcinoma, Papillary; Deep Learning; Female; Fibroadenoma; Fibroma; Humans; breast tumor; diagnostic imaging; female; fibroadenoma; fibroma; human; lobular carcinoma; Paget nipple disease; papillary carcinoma