Classification of multi‐feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks
Pengfei Xu,
Jing Zhao,
Mingxi Wan
et al.
Abstract:BackgroundBreast tumor is a fatal threat to the health of women. Ultrasound (US) is a common and economical method for the diagnosis of breast cancer. Breast imaging reporting and data system (BI‐RADS) category 4 has the highest false‐positive value of about 30% among five categories. The classification task in BI‐RADS category 4 is challenging and has not been fully studied.PurposeThis work aimed to use convolutional neural networks (CNNs) for breast tumor classification using B‐mode images in category 4 to o… Show more
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