Automated cutaneous squamous cell carcinoma grading using deep learning with transfer learning.

Journal: Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie

PMID: 39020538

Abstract

INTRODUCTION: Histological grading of cutaneous squamous cell carcinoma (cSCC) is crucial for prognosis and treatment decisions, but manual grading is subjective and time-consuming.

Authors

Alexandra Buruiană

Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, Romania; mircea_serbanescu@yahoo.com.
Mircea Sebastian Şerbănescu

Department of Medical Oncology, University of Medicine and Pharmacy of Craiova, Romania; liliana.streba@umfcv.ro.
Bogdan Pop
Bogdan Alexandru Gheban
Carmen Georgiu
Doiniţa Crişan
Maria Crişan

Keywords

Carcinoma, Squamous Cell Deep Learning Humans Neoplasm Grading Skin Neoplasms

External Resources

View on PubMed Access via DOI PubMed (39020538)

Automated cutaneous squamous cell carcinoma grading using deep learning with transfer learning.

Abstract

Authors

Keywords

External Resources

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