[1] J. Z. Cheng, D. Ni, Y. H. Chou, J. Qin, C. M. Tiu, Y. C. Chang, C. S. Huang, D. Shen and C. M. Chen, “Computer-aided diagnosis with deep learning architecture: Applications to breast lesions in US images and pulmonary nodules in CT scans,” Sci. Rep., 6, 24454 (2016).
[2] Z. Cao, L. Duan, G. Yang, T. Yue and Q. Chen, “An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures,” BMC Med. Imaging, 19, 51 (2019).
[3] N. Nishida, M. Yamakawa, T. Shiina and M. Kudo, “Current status and perspectives for computer-aided ultrasonic diagnosis of liver lesions using deep learning technology,” Hepatol. Int., 13, 416-421 (2019).
[4] T. Nakashima, I. Tsutsumi, H. Takami, K. Doman, Y. Mekada, N. Nishida and M. Kudo, “A study on liver tumor detection from an ultrasound image using deep learning,” Proc. SPIE 11515, IWAIT (2020).
[5] M. Yamakawa, T. Shiina, N. Nishida and M. Kudo, “Optimal cropping for input images used in a convolutional neural network for ultrasonic diagnosis of liver tumors,” Jpn. J. Appl. Phys., 59, SKKE09 (2020).