Deep Learning Model for Automated Cutaneous Squamous Cell Carcinoma Grading

Deep Learning Model for Automated Cutaneous Squamous Cell Carcinoma Grading

Accurate and efficient grading of cutaneous squamous cell carcinoma (cSCC) is critical for effective treatment and prognosis, but traditional manual grading methods are subjective and time-consuming. This study aimed to develop and validate a deep learning (DL) model for automated cSCC grading, pot...

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Bibliographic Details
Main Authors: Alexandra BURUIANĂ, Mircea-Sebastian ŞERBĂNESCU, Bogdan-Alexandru GHEBAN
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2025-05-01
Series:Applied Medical Informatics
Subjects:
Cutaneous Squamous Cell Carcinoma
Deep Learning
Histological Grading
Transfer Learning; Artificial Intelligence
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/1180
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