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Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation

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Image Analysis and Processing. ICIAP 2022 Workshops (ICIAP 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13374))

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Abstract

In order to establish the correct protocol for COVID-19 treatment, estimating the percentage of COVID-19 specific infection within the lung tissue can be an important tool. This article describes the approach we used in order to estimate the COVID-19 infection percentage on lung CT scan slices within the Covid-19-Infection-Percentage-Estimation-Challenge. Our method frames the regression problem as a multi-tasking process and is based on modern training pipelines and architectures that correspond to state of the art models on image classification tasks. It obtained the best score on the validation dataset and ranked third in the testing phase within the competition.

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Notes

  1. 1.

    https://github.com/SENTICLABresearch/Covid-19_Percentage_Estimation.

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Acknowledgement

This paper is partially supported by the Competitiveness Operational Programme Romania under project number SMIS 124759 - RaaS-IS (Research as a Service Iasi).

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Authors and Affiliations

  1. Alexandru Ioan Cuza University, Faculty of Computer Science, Iasi, Romania

    Radu Miron & Mihaela Elena Breaban

  2. SenticLab, Iasi, Romania

    Radu Miron

Authors
  1. Radu Miron
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  2. Mihaela Elena Breaban
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Corresponding author

Correspondence to Mihaela Elena Breaban .

Editor information

Editors and Affiliations

  1. National Research Council, Lecce, Italy

    Pier Luigi Mazzeo

  2. Università Politecnica delle Marche, Ancona, Italy

    Emanuele Frontoni

  3. Boston University, Boston, MA, USA

    Stan Sclaroff

  4. National Research Council, Lecce, Italy

    Cosimo Distante

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Miron, R., Breaban, M.E. (2022). Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation. In: Mazzeo, P.L., Frontoni, E., Sclaroff, S., Distante, C. (eds) Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, vol 13374. Springer, Cham. https://doi.org/10.1007/978-3-031-13324-4_40

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  • DOI: https://doi.org/10.1007/978-3-031-13324-4_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13323-7

  • Online ISBN: 978-3-031-13324-4

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