3 papers
cs.CV2026
A Hierarchical Benchmark of Foundation Models for Dermatology
Furkan Yuceyalcin, Abdurrahim Yilmaz, Burak Temelkuran
Foundation models have transformed medical image analysis by providing robust feature representations that reduce the need for large-scale task-specific training. However, current…
cs.CV2025
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides
Abdurrahim Yilmaz, Serra Atilla Aydin, Deniz Temur +7
Mohs micrographic surgery (MMS) is the gold standard technique for removing high risk nonmelanoma skin cancer however, intraoperative histopathological examination demands signific…
cs.CV2025
DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets
Abdurrahim Yilmaz, Furkan Yuceyalcin, Ece Gokyayla +8
A major barrier to developing vision large language models (LLMs) in dermatology is the lack of large image--text pairs dataset. We introduce DermaSynth, a dataset comprising of 92…