Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers

Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers

Abstract Background Basal cell carcinoma (BCC) is the most common skin cancer, placing a significant burden on healthcare systems globally. Developing high-precision automated diagnostics requires large annotated datasets, which are costly and difficult to obtain. This study aimed to fine-tune a wea...

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Bibliographic Details
Main Authors: Johan Björkman, Sigrid Lagerroth, Jan Siarov, Filmon Yacob, Noora Neittaanmäki
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medical Imaging
Subjects:
Basal cell carcinoma
Digital pathology
Deep learning
Weakly supervised
Graph transformer
Graph convolutional network
Online Access:https://doi.org/10.1186/s12880-025-01710-4
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https://doi.org/10.1186/s12880-025-01710-4

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