ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification

Ralf Raumanns, Gerard Schouten, Max Joosten, Josien P.W. Pluim, Veronika Cheplygina

Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review

Original language	English
Journal	Machine Learning for Biomedical Imaging
Volume	1
DOIs	https://doi.org/10.59275/j.melba.2021-geb9
Publication status	Published - 2021

Access to Document

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title = "ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification",

author = "Ralf Raumanns and Gerard Schouten and Max Joosten and Pluim, {Josien P.W.} and Veronika Cheplygina",

year = "2021",

doi = "https://doi.org/10.59275/j.melba.2021-geb9",

language = "English",

volume = "1",

journal = "Machine Learning for Biomedical Imaging",

}

TY - JOUR

T1 - ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification

AU - Raumanns, Ralf

AU - Schouten, Gerard

AU - Joosten, Max

AU - Pluim, Josien P.W.

AU - Cheplygina, Veronika

PY - 2021

Y1 - 2021

U2 - https://doi.org/10.59275/j.melba.2021-geb9

DO - https://doi.org/10.59275/j.melba.2021-geb9

M3 - Journal article

VL - 1

JO - Machine Learning for Biomedical Imaging

JF - Machine Learning for Biomedical Imaging

ER -