Actinic Keratosis in dermatoscopy and High-Frequency Ultrasound

Data supporting work: "Automatic Assessment of AK Stage Based on Dermatoscopic and HFUS Imaging—A Preliminary Study" DOI: https://doi.org/10.3390/jcm13247499 and "Actinic keratosis staging in multimodal image data" DOI: 10.1016/j.cmpb.2026.109364 .

This dataset consist of 239 HFUS and dermatoscopic images registered from 78 patients with actinic keratosis and seemingly healthy subjects. All experiments were performed following the protocol approved by the Bioethics Committee at the Poznan University of Medical Sciences, under reference number 523/23 on 29 June 2023. This study was conducted at the Department of Dermatology of Poznan University of Medical Sciences from June 2023 to April 2024. For each marker (AK site) dermatoscopy picture were taken (iPhone 8 camera coupled to DermLite DL5, 10× magnification) and then high-frequency images (DermaScan C, a Cortex Technology, Aalborg, Denmark device, linear 20 MHz probe) were taken as well.

For each lesion, the clinico-dermatoscopic classification of each AK based on a three-point Zalaudek scale was performed by 2 experienced dermatologists. In this dataset, 122 markers were classified as AK1, 51 as AK2 and 34 as AK3. The rest was photographs of clinically healthy skin (stage 0). Each patient is codes as PXXX, and each corresponding markers for patient are coded as PXXX_mX. Dermatosopy and HFUS images have corresponding names in folders HFUS and Dermatoscopic. Patient info (age and sex are presented in file patientID_age_sex.csv, where 0:Female, 1:Male). File markersID_staging.csv contains stage corresponding to each markers (where 1:AK1, 2:AK2, 3:AK3, 0:clinically healthy skin).

In file markersID_staging.csv there is a column "VERSION" added - value 1 marks samples from the publication "Automatic Assessment of AK Stage Based on Dermatoscopic and HFUS Imaging—A Preliminary Study", number 2 - additional samples from the publication "Actinic keratosis staging in multimodal image data", 0 - sampled not used in those works. This repository contains also data recorded from younger people - below 41 (see age column).

This research was supported by National Science Centre, Poland, research project No. 2023/07/X/ST6/00861 “The use of artificial intelligence methods in the diagnosis of actinic keratosis based on multimodal image data” and No. 2023/07/X/NZ5/00867 “The importance of high-frequency ultrasound in the assessment of actinic keratosis and the cancerization field”.