2022 7th International Conference on Image and Signal Processing and Their Applications (ISPA) 2022
DOI: 10.1109/ispa54004.2022.9786351
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Breast Cancer: Using Deep Transfer Learning Techniques AlexNet Convolutional Neural Network For Breast Tumor Detection in Mammography Images

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Cited by 10 publications
(2 citation statements)
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“…All the images are split into 7:3 and 5:5 to be the training set and the testing set, respectively. This split percentage was considered based on a review of the relevant literature [ 22 , 23 , 24 , 25 ]. In the positive cases, the lesions included calcifications, well-defined or localized masses, radially shaped masses, other and uncertain defined masses, structural distortions, and asymmetry tissue.…”
Section: Methodsmentioning
confidence: 99%
“…All the images are split into 7:3 and 5:5 to be the training set and the testing set, respectively. This split percentage was considered based on a review of the relevant literature [ 22 , 23 , 24 , 25 ]. In the positive cases, the lesions included calcifications, well-defined or localized masses, radially shaped masses, other and uncertain defined masses, structural distortions, and asymmetry tissue.…”
Section: Methodsmentioning
confidence: 99%
“…For data augmentation, Keras Image processing library was used with ImageDataGenerator (Boudouh et. al., 2022).…”
Section: Data Augmentationmentioning
confidence: 99%