Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning.

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作者： Hwaseong,Ryu ^[1] ; Seung Yeon,Shin ^[2] ; Jae Young,Lee ^[3] ; Kyoung Mu,Lee ^[4] ; Hyo-Jin,Kang ^[5] ; Jonghyon,Yi ^[6]

作者单位： Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea. ^[1] National Institutes of Health, Bethesda, MD, 20892, USA. ^[2] Department of Radiology and the Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Republic of Korea. leejy4u@gmail.com. ^[3] Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea. leejy4u@gmail.com. ^[4] Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. leejy4u@gmail.com. ^[5] Department of Electrical and Computer Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea. kyoungmu@snu.ac.kr. ^[6] Department of Radiology and the Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Republic of Korea. ^[7] Medical Imaging R&D Group, Health & Medical Equipment Business, Samsung Electronics Co., Ltd., Seoul, Republic of Korea. ^[8]

关键词 Deep learning Liver Ultrasonography

主题词癌, 肝细胞(Carcinoma, Hepatocellular);人类(Humans);肝肿瘤(Liver Neoplasms);超声检查(Ultrasonography)

DOI 10.1007/s00330-021-07850-9

PMID 33881566

发布时间 2024-04-05

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