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Application of AI Using U-Net in Skin Lesion Segmentation Cover
By:   
Open Access
|Mar 2026

Figures & Tables

Table 1.

Train and Validation Data

TrainValidationTotal
Images8,0161,99910,015
Masks8,0161,99910,015
Total16,0323,99820,030
Figure 1.

U-Net Architecture

Figure 2.

Experimental Setup

Figure 3.

Training Loss, Dice Score, and Validation Metrics over 20 Epochs

Figure 4.

Confusion Matrix for Skin Lesion Segmentation

DOI: https://doi.org/10.14313/jamris-2026-006 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 66 - 73
Submitted on: Jul 15, 2024
Accepted on: Aug 22, 2024
Published on: Mar 31, 2026
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Serra Aksoy, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.