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A Novel Unstained Blood Smears Multispectral Images Normalization. Application to Unstained Malaria Infected Blood Smear.

Sophie Dabo-Niang 1 Solange Doumun 2 Jeremie Thouakesseh Zoueu 2
1 MODAL - MOdel for Data Analysis and Learning
LPP - Laboratoire Paul Painlevé - UMR 8524, Université de Lille, Sciences et Technologies, Inria Lille - Nord Europe, METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694, Polytech Lille - École polytechnique universitaire de Lille
2 Institut national polytechnique Félix Houphouët-Boigny
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Preprints, Working Papers, ...
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https://hal.inria.fr/hal-03133828
Contributor : Sophie Dabo-Niang Connect in order to contact the contributor
Submitted on : Sunday, February 7, 2021 - 12:16:58 PM
Last modification on : Tuesday, April 6, 2021 - 10:40:05 AM

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  • HAL Id : hal-03133828, version 1

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INSMI | UNIV-LILLE | CNRS | INRIA

Citation

Sophie Dabo-Niang, Solange Doumun, Jeremie Thouakesseh Zoueu. A Novel Unstained Blood Smears Multispectral Images Normalization. Application to Unstained Malaria Infected Blood Smear.. 2021. ⟨hal-03133828⟩

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