A Meaningful Journey to Predict Fractures with Deep Learning

Jeonghoon Ha

doi:10.3803/EnM.2022.403

A Meaningful Journey to Predict Fractures with Deep Learning

Jeonghoon Ha

Department of Internal Medicine

Research output: Contribution to journal › Editorial

Original language	English
Pages (from-to)	617-619
Number of pages	3
Journal	Endocrinology and Metabolism
Volume	37
Issue number	4
DOIs	https://doi.org/10.3803/EnM.2022.403
State	Published - Aug 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.3803/EnM.2022.403

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title = "A Meaningful Journey to Predict Fractures with Deep Learning",

author = "Jeonghoon Ha",

year = "2022",

month = aug,

doi = "10.3803/EnM.2022.403",

language = "English",

volume = "37",

pages = "617--619",

journal = "Endocrinology and Metabolism",

issn = "2093-596X",

publisher = "Korean Endocrine Society",

number = "4",

}

TY - JOUR

T1 - A Meaningful Journey to Predict Fractures with Deep Learning

AU - Ha, Jeonghoon

PY - 2022/8

Y1 - 2022/8

UR - https://www.scopus.com/pages/publications/85142319945

U2 - 10.3803/EnM.2022.403

DO - 10.3803/EnM.2022.403

M3 - Editorial

C2 - 36065645

AN - SCOPUS:85142319945

SN - 2093-596X

VL - 37

SP - 617

EP - 619

JO - Endocrinology and Metabolism

JF - Endocrinology and Metabolism

IS - 4

ER -

A Meaningful Journey to Predict Fractures with Deep Learning

UN SDGs

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