Development of novel deep multimodal representation learning‐based model for the differentiation of liver tumors on B‐mode ultrasound images

Author:

Sato Masaya12ORCID,Kobayashi Tamaki1,Soroida Yoko1,Tanaka Takashi3,Nakatsuka Takuma2,Nakagawa Hayato2,Nakamura Ayaka1,Kurihara Makiko1,Endo Momoe1,Hikita Hiromi1,Sato Mamiko1,Gotoh Hiroaki1,Iwai Tomomi1,Tateishi Ryosuke2ORCID,Koike Kazuhiko2,Yatomi Yutaka1

Affiliation:

1. Department of Clinical Laboratory Medicine, Graduate School of Medicine The University of Tokyo Tokyo Japan

2. Department of Gastroenterology, Graduate School of Medicine The University of Tokyo Tokyo Japan

3. Groovenauts, Inc Fukuoka Japan

Funder

Ministry of Health, Labour and Welfare

Publisher

Wiley

Subject

Gastroenterology,Hepatology

Reference42 articles.

1. Hepatocellular carcinoma: review of epidemiology, screening, imaging diagnosis, response assessment, and treatment;Clark T;Curr. Probl. Diagn. Radiol.,2015

2. Small hepatocellular carcinoma: ultrasonographic findings and histopathologic correlation;Kim KA;Clin. Imaging,2003

3. Machine learning and radiology;Wang S;Med. Image Anal.,2012

4. Imagenet classification with deep convolutional neural networks;Krizhevsky A;Adv. Neural Inf. Process. Syst.,2012

5. ParkE LiuW RussakovskyO DengJ Fei‐FeiL&BergAILSVRC‐2017. Available at URLhttp://www.image‐net.org/challenges/LSVRC/2017. 2017.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3