This paper is marked retracted in the scholarly record (OpenAlex). Interpret its findings with caution.
Retraction: Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCutaneous Melanoma Detection and Management · Brain Tumor Detection and Classification · Advanced Technologies and Applied Computing
The PLOS One Editors retract this article [1] because it was identified as one of a series of submissions for which we have concerns about peer review integrity and potential manipulation of the publication process. These concerns call into question the validity and provenance of the reported results. We regret that the issues were not identified prior to the article’s publication.
PT, DP, LM, AAK, and SK did not agree with the retraction. MR either did not respond directly or could not be reached.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
