| Naslov: | Optimizing digital image quality for improved skin cancer detection |
|---|
| Avtorji: | ID Dugonik, Bogdan (Avtor)
ID Golob, Marjan (Avtor)
ID Marhl, Marko (Avtor)
ID Vučinič Dugonik, Aleksandra (Avtor) |
|---|
| Datoteke: |  jimaging-11-00107.pdf (5,63 MB)
MD5: 6791B3139AE8684BB9B7864061DF5ED0
 https://www.mdpi.com/2313-433X/11/4/107
|
|---|
| Jezik: | Angleški jezik |
|---|
| Vrsta gradiva: | Članek v reviji |
|---|
| Tipologija: | 1.01 - Izvirni znanstveni članek |
|---|
| Organizacija: | FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
MF - Medicinska fakulteta
PEF - Pedagoška fakulteta
FNM - Fakulteta za naravoslovje in matematiko
|
|---|
| Opis: | The rising incidence of skin cancer, particularly melanoma, underscores the need for improved diagnostic tools in dermatology. Accurate imaging plays a crucial role in early detection, yet challenges related to color accuracy, image distortion, and resolution persist, leading to diagnostic errors. This study addresses these issues by evaluating color reproduction accuracy across various imaging devices and lighting conditions. Using a ColorChecker test chart, color deviations were measured through Euclidean distances (∆E*, ∆C*), and nonlinear color differences (∆E00, ∆C00), while the color rendering index (CRI) and television lighting consistency index (TLCI) were used to evaluate the influence of light sources on image accuracy. Significant color discrepancies were identified among mobile phones, DSLRs, and mirrorless cameras, with inadequate dermatoscope lighting systems contributing to further inaccuracies. We demonstrate practical applications, including manual camera adjustments, grayscale reference cards, post-processing techniques, and optimized lighting conditions, to improve color accuracy. This study provides applicable solutions for enhancing color accuracy in dermatological imaging, emphasizing the need for standardized calibration techniques and imaging protocols to improve diagnostic reliability, support AI-assisted skin cancer detection, and contribute to high-quality image databases for clinical and automated analysis. |
|---|
| Ključne besede: | dermoscopy, melanoma, color analysis, color error, spectral power distribution, grey card, digital imaging standards |
|---|
| Status publikacije: | Objavljeno |
|---|
| Verzija publikacije: | Objavljena publikacija |
|---|
| Poslano v recenzijo: | 13.02.2025 |
|---|
| Datum sprejetja članka: | 27.03.2025 |
|---|
| Datum objave: | 31.03.2025 |
|---|
| Založnik: | MDPI |
|---|
| Leto izida: | 2025 |
|---|
| Št. strani: | 22 str. |
|---|
| Številčenje: | Vol. 11, iss. 4 [article no.] 107 |
|---|
| PID: | 20.500.12556/DKUM-92430  |
|---|
| UDK: | 616.5 |
|---|
| COBISS.SI-ID: | 231166467 |
|---|
| DOI: | 10.3390/jimaging11040107 |
|---|
| ISSN pri članku: | 2313-433X |
|---|
| Avtorske pravice: | © 2025 by the authors |
|---|
| Datum objave v DKUM: | 08.04.2025 |
|---|
| Število ogledov: | 181 |
|---|
| Število prenosov: | 10 |
|---|
| Metapodatki: |    |
|---|
| Področja: | Ostalo
|
|---|
|
:
|
Kopiraj citat |
|---|
| | | | Skupna ocena: | (0 glasov) |
|---|
| Vaša ocena: | Ocenjevanje je dovoljeno samo prijavljenim uporabnikom. |
|---|
| Objavi na: |  |
|---|
Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše
podrobnosti ali sproži prenos. |
