Multispectral imaging and autofluorescence photobleaching combined in a multi-head neural network for skin cancer classification

These findings indicate that multi-head architectures with specialized loss functions offer a powerful means of enhancing hyperspectral image classification, particularly for skin cancer detection, and provide a promising direction for future research and clinical applications.

Authors

Vilen Jumutc (ORCID: https://orcid.org/0000-0003-4771-2411)
Mihails Kovaļovs
A. N. Bondarenko (ORCID: https://orcid.org/0000-0002-4103-6814)
Ilze Lihacova (ORCID: https://orcid.org/0000-0002-8102-7373)
A. Lihachev
Dmitrijs Bļizņuks (ORCID: https://orcid.org/0000-0003-4252-9220)

Institutions

Riga Technical University (LV)
University of Latvia (LV)

Publication Details

Journal: Frontiers in Medicine
Published: 2026-02-10
DOI: https://doi.org/10.3389/fmed.2026.1763105
Primary Topic: Cutaneous Melanoma Detection and Management
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Latvijas Zinātnes Padome

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article

Multispectral imaging and autofluorescence photobleaching combined in a multi-head neural network for skin cancer classification

Vilen Jumutc, Mihails Kovaļovs, A. N. Bondarenko, Ilze Lihacova et al.

Feb 10, 2026

Frontiers in Medicine

Cutaneous Melanoma Detection and Management

article

Multispectral imaging and autofluorescence photobleaching combined in a multi-head neural network for skin cancer classification

Vilen Jumutc, Mihails Kovaļovs, A. N. Bondarenko, Ilze Lihacova, A. Lihachev, Dmitrijs Bļizņuks

February 10, 2026article en

Abstract

These findings indicate that multi-head architectures with specialized loss functions offer a powerful means of enhancing hyperspectral image classification, particularly for skin cancer detection, and provide a promising direction for future research and clinical applications.

Frontiers in MedicineVol. 13

Riga Technical University (LV), University of Latvia (LV)

Latvijas Zinātnes Padome

Openalex Percentile: Top 61%

Cutaneous Melanoma Detection and Management

DOI Open Access PDF OpenAlex

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