Challenges and Technological Trends Toward Improved Medical Imaging-based Predictive Data-mining

Assaf Zaritsky

doi:10.1016/j.ebiom.2018.08.017

Challenges and Technological Trends Toward Improved Medical Imaging-based Predictive Data-mining

Assaf Zaritsky

Department of Software and Information Systems Engineering

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Original language	English
Pages (from-to)	20-21
Number of pages	2
Journal	eBioMedicine
Volume	35
DOIs	https://doi.org/10.1016/j.ebiom.2018.08.017
State	Published - 1 Sep 2018

Keywords

Data-mining
Deep learning
Medical imaging
Radiomics

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

UN SDGs

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

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10.1016/j.ebiom.2018.08.017

Cite this

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title = "Challenges and Technological Trends Toward Improved Medical Imaging-based Predictive Data-mining",

keywords = "Data-mining, Deep learning, Medical imaging, Radiomics",

author = "Assaf Zaritsky",

year = "2018",

month = sep,

day = "1",

doi = "10.1016/j.ebiom.2018.08.017",

language = "English",

volume = "35",

pages = "20--21",

journal = "eBioMedicine",

issn = "2352-3964",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Challenges and Technological Trends Toward Improved Medical Imaging-based Predictive Data-mining

AU - Zaritsky, Assaf

PY - 2018/9/1

Y1 - 2018/9/1

KW - Data-mining

KW - Deep learning

KW - Medical imaging

KW - Radiomics

UR - http://www.scopus.com/inward/record.url?scp=85051658298&partnerID=8YFLogxK

U2 - 10.1016/j.ebiom.2018.08.017

DO - 10.1016/j.ebiom.2018.08.017

M3 - Comment/debate

AN - SCOPUS:85051658298

SN - 2352-3964

VL - 35

SP - 20

EP - 21

JO - eBioMedicine

JF - eBioMedicine

ER -

Challenges and Technological Trends Toward Improved Medical Imaging-based Predictive Data-mining

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this