This paper presents the development of a deep convolutional neural network (CNN) method namely super-solution CNN to produce a high-resolution microwave breast image from a low-resolution model, which helps to improve the accuracy and efficiency of breast lesion detection within microwave image. Various experiments are conducted to validate the proposed method. Experimental results show that the proposed approach has the potential to produce a high-resolution breast image with high-accuracy.
Deep Convolutional Neural Networks for Breast Image Analysis on Holographic Microwave Imaging
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Wang, L, & Xu, J. "Deep Convolutional Neural Networks for Breast Image Analysis on Holographic Microwave Imaging." Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition. Volume 3: Biomedical and Biotechnology Engineering. Pittsburgh, Pennsylvania, USA. November 9–15, 2018. V003T04A029. ASME. https://doi.org/10.1115/IMECE2018-86765
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