Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

• Published in: Multidimensional systems and signal processing Vol. 32; no. 2; pp. 747 - 765
• Main Authors: Khamparia, Aditya, Bharati, Subrato, Podder, Prajoy, Gupta, Deepak, Khanna, Ashish, Phung, Thai Kim, Thanh, Dang N. H.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2021; Springer Nature B.V
• Subjects: Artificial Intelligence; Artificial neural networks; Breast cancer; Circuits and Systems; Electrical Engineering; Engineering; Learning; Mammography; Signal,Image and Speech Processing; Hybrid transfer learning; Breast cancer; Mammography; 3D mammography; Convolutional neural networks; Medical image segmentation

Breast cancer is a common cancer in women. Early detection of breast cancer in particular and cancer, in general, can considerably increase the survival rate of women, and it can be much more effective. This paper mainly focuses on the transfer learning process to detect breast cancer. Modified VGG...