Cited by 1Cutaneous lymphoproliferative disorders researchAI in cancer detectionArtificial Intelligence in Healthcare and Education

The DOI matches its Crossref record.

397 Distinction of Mycosis Fungoides From Its Morphologic Mimics Using AI-Powered Analysis of Whole Slide Images

Sharaf, Mohamed, Jour, George, Smoller, Bruce, Giubellino, Alessio, Shvartsbeyn, Marianna, Park, Christopher·2026·Laboratory Investigation

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Crossref · 10.1016/j.labinv.2025.104680

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  • Preliminary reports of other unimodal H&E models, such as recent conference abstracts by Sharaf et al., have reported high accuracies, but these systems were evaluated on heavily restricted sample sizes, increasing the risk of overfitting relative to our large-scale, multicentre validation.

    “Similarly, while preliminary reports of other unimodal H&E models, such as recent conference abstracts by Sharaf et al., have reported high accuracies, these systems were evaluated on heavily restricted sample sizes 19,20 , increasing the risk of overfitting relative to our large-scale, multicentre validation.”

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Metadata

Authors
Sharaf, M., Jour, G., Smoller, B., Giubellino, A., Shvartsbeyn, M., & Park, C.
Affiliations
  • New York University (US)
  • NYU Langone Health (US)
  • University of Rochester Medicine (US)
  • University of Minnesota (US)
Venue
Laboratory Investigation
Publisher
Elsevier BV
Published
2026-03
Volume
106
Issue
3
Pages
104680
ISSN
0023-6837 (ISSN-L)
OpenAlex
W7140095518
Cited by
0
References
0
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Locations
Laboratory Investigation (publishedVersion)
Topics
  • Health Sciences › Medicine › Dermatology › Cutaneous lymphoproliferative disorders research
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
mycosis fungoides, cutaneous T-cell lymphoma, differential diagnosis, whole slide images, artificial intelligence, image analysis

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