Content area

Abstract

The use of electronic photographic recording has greatly facilitated the process of photo post-processing. Digital camera-based fixation enables extensive manipulation of captured images, potentially uncovering diagnostically relevant features and improving the visualization of dermoscopic structures.

This article aims to illustrate the potential utility of digital image post-processing in selected diagnostic contexts. A series of clinical dermoscopic images are presented, demonstrating pre- and post-processing comparisons, with annotated regions highlighting key diagnostic structures.

Digital post-processing may offer diagnostic support in certain cases, particularly when used in conjunction with artificial intelligence and machine learning algorithms, which facilitate analysis with minimal user intervention. However, validation of the diagnostic reliability of post-processed images necessitates multicenter, retrospective comparative studies.

Details

1009240
Title
Use of Machine Learning Tools for Post-Processing of Digital Dermoscopic Images: a Case Series
Publication title
Volume
112
Issue
1
Pages
59-63
Number of pages
6
Publication year
2025
Publication date
2025
Section
Case report
Publisher
Termedia Publishing House
Place of publication
Poznan
Country of publication
Poland
ISSN
00332526
e-ISSN
20849893
Source type
Scholarly Journal
Language of publication
Polish; English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-05-20
Publication history
 
 
   First posting date
20 May 2025
ProQuest document ID
3279483494
Document URL
https://www.proquest.com/scholarly-journals/use-machine-learning-tools-post-processing/docview/3279483494/se-2?accountid=208611
Copyright
© 2025. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-05
Database
ProQuest One Academic