Improved Segmentation Model for Melanoma Lesion Detection Using Normalized Cross-Correlation-Based <i>k</i>-Means Clustering

Research article (IEEE Access, 2024) · cited 17× · AI/ML
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Improved Segmentation Model for Melanoma Lesion Detection Using Normalized Cross-Correlation-Based k-Means Clustering

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Improved Segmentation Model for Melanoma Lesion Detection Using Normalized Cross-Correlation-Based k-Means Clustering is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improved Segmentation Model for Melanoma Lesion Detection Using Normalized Cross-Correlation-Based <i>k</i>-Means Clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/improved-segmentation-model-for-melanoma-lesion-detection-using-normalized-cross-correlation-based-i-k-i-means-clusterin
MLA “Improved Segmentation Model for Melanoma Lesion Detection Using Normalized Cross-Correlation-Based <i>k</i>-Means Clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improved-segmentation-model-for-melanoma-lesion-detection-using-normalized-cross-correlation-based-i-k-i-means-clusterin.
BibTeX @misc{4ortxyz_improved-segmentation-model-for-melanoma-lesion-detection-using-normalized-cross-correlation-based-i-k-i-means-clusterin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improved Segmentation Model for Melanoma Lesion Detection Using Normalized Cross-Correlation-Based <i>k</i>-Means Clustering}}, year = {2026}, url = {https://4ort.xyz/entity/improved-segmentation-model-for-melanoma-lesion-detection-using-normalized-cross-correlation-based-i-k-i-means-clusterin}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improved Segmentation Model for Melanoma Lesion Detection Using Normalized Cross-Correlation-Based <i>k</i>-Means Clustering — https://4ort.xyz/entity/improved-segmentation-model-for-melanoma-lesion-detection-using-normalized-cross-correlation-based-i-k-i-means-clusterin (retrieved 2026-05-24)

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