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Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images
Research article (Skin Research and Technology, 2020) · cited 16× · AI/ML
Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images
Summary
Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images is a scholarly article[1].
Key Facts
Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images. Retrieved May 24, 2026, from https://4ort.xyz/entity/proposing-a-novel-unsupervised-stack-ensemble-of-deep-and-conventional-image-segmentation-sedcis-method-for-localizing-v
MLA“Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/proposing-a-novel-unsupervised-stack-ensemble-of-deep-and-conventional-image-segmentation-sedcis-method-for-localizing-v.
BibTeX@misc{4ortxyz_proposing-a-novel-unsupervised-stack-ensemble-of-deep-and-conventional-image-segmentation-sedcis-method-for-localizing-v_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images}}, year = {2026}, url = {https://4ort.xyz/entity/proposing-a-novel-unsupervised-stack-ensemble-of-deep-and-conventional-image-segmentation-sedcis-method-for-localizing-v}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images — https://4ort.xyz/entity/proposing-a-novel-unsupervised-stack-ensemble-of-deep-and-conventional-image-segmentation-sedcis-method-for-localizing-v (retrieved 2026-05-24)
