Segment-Aware Contrastive Representation Learning With Vision Transformers: TransCon-Skin
TL;DR
TransCon-Skin is a deep learning model using segmentation and contrastive learning with Vision Transformers for accurate skin cancer classification from dermoscopic images, aiming to improve early diagnosis.
Segment-Aware Contrastive Representation Learning With Vision Transformers: TransCon-Skin
Fatih Özyurt; Canan Koç; Esra Yüzgeç Özdemir
https://doi.org/10.1109/ACCESS.2025.3645694
Volume 14
Skin cancer is one of the most common malignant diseases worldwide, and its early and accurate diagnosis is critical for the prognosis and treatment success. In this study, we propose TransCon-Skin, a new deep learning model based on segmentation and contrastive learning for high-accuracy classification of dermoscopic images. The model provides an effective learning structure that strengthens clas...