Multi-View Computed Tomography Network for Osteoporosis Classification-Reference-Cited by-同舟云学术

Multi-View Computed Tomography Network for Osteoporosis Classification

Author:

Hwang Dong Hwan¹,Bak So Hyeon²,Ha Tae-Jun³,Kim Yoon¹,Kim Woo Jin⁴^ORCID,Choi Hyun-Soo¹^ORCID

Affiliation:

1. Ziovision Inc., Chuncheon, South Korea

2. Department of Radiology, University of Ulsan College of Medicine, Seoul, South Korea

3. Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea

4. Department of Internal Medicine, Kangwon National University, Chuncheon, South Korea

Funder

Promotion of Innovative Businesses for Regulation-Free Special Zones funded by the Ministry of Small and Medium-sized Enterprises (SMEs) and Startups

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference26 articles.

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4. Bootstrap your own latent—A new approach to self-supervised learning;grill;Proc Adv Neural Inf Process Syst,2020

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