MelanoDet: Multimodal Imaging System for Screening and Analysis of Cutaneous Melanoma

Cutaneous melanoma is one of the most aggressive skin cancers, and early detection is critical for effective treatment. Although traditional imaging techniques such as dermoscopy improve diagnostic accuracy, many cases remain undetected. Recent advancements in non-invasive imaging, including multispectral imaging and infrared thermal imaging, offer new opportunities for early diagnosis. In this study, we introduce MelanoDet, a multimodal imaging system integrating three cameras corresponding to different spectra: visible, near-infrared, and long-wavelength infrared. To ensure accurate lesion inspection, an analytical method based on the optical cameras parameters estimated the cameras’ common field of view, to capture the same region of interest. Since the acquired images differ in resolution, angle, and orientation, a second refined registration step has been applied. A standardized image acquisition protocol was established in collaboration with an experienced team of dermatologists from Elias Emergency University Hospital, Bucharest. The MelanoDet system, along with its protocol and image processing techniques, was validated on 25 cases of suspicious nevi, demonstrating its potential for improving melanoma screening.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3557628
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

MelanoDet: Multimodal Imaging System for Screening and Analysis of Cutaneous Melanoma

A Dobre, Olguța Anca Orzan, P. Rus, Maria Oniga et al.
IEEE Access
Cutaneous Melanoma Detection and Management
article

MelanoDet: Multimodal Imaging System for Screening and Analysis of Cutaneous Melanoma

A Dobre, Olguța Anca Orzan, P. Rus, Maria Oniga, Alina Sultana
article en

Abstract

Cutaneous melanoma is one of the most aggressive skin cancers, and early detection is critical for effective treatment. Although traditional imaging techniques such as dermoscopy improve diagnostic accuracy, many cases remain undetected. Recent advancements in non-invasive imaging, including multispectral imaging and infrared thermal imaging, offer new opportunities for early diagnosis. In this study, we introduce MelanoDet, a multimodal imaging system integrating three cameras corresponding to different spectra: visible, near-infrared, and long-wavelength infrared. To ensure accurate lesion inspection, an analytical method based on the optical cameras parameters estimated the cameras’ common field of view, to capture the same region of interest. Since the acquired images differ in resolution, angle, and orientation, a second refined registration step has been applied. A standardized image acquisition protocol was established in collaboration with an experienced team of dermatologists from Elias Emergency University Hospital, Bucharest. The MelanoDet system, along with its protocol and image processing techniques, was validated on 25 cases of suspicious nevi, demonstrating its potential for improving melanoma screening.

IEEE AccessVol. 13
Carol Davila University of Medicine and Pharmacy (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Ministerul Cercetării, Inovării şi Digitalizării
Zero hunger
Openalex Percentile: Top 90%
Cutaneous Melanoma Detection and Management
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MelanoDet: Multimodal Imaging System for Screening and Analysis of Cutaneous Melanoma — A Dobre, Olguța Anca Orzan, et al. · IEEE Access (2025) | TGRS Research Map | TGRS