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Discriminating basal cell carcinoma and Bowen's disease from benign skin lesions with a 3D hyperspectral imaging system and convolutional neural networks.

Authors :
Lindholm, Vivian
Annala, Leevi
Koskenmies, Sari
Pitkänen, Sari
Isoherranen, Kirsi
Järvinen, Anna
Jeskanen, Leila
Pölönen, Ilkka
Ranki, Annamari
Raita‐Hakola, Anna‐Maria
Salmivuori, Mari
Source :
Skin Research & Technology. Apr2024, Vol. 30 Issue 4, p1-5. 5p.
Publication Year :
2024

Abstract

A study published in the journal Skin Research & Technology examines the use of a 3D hyperspectral imaging system and convolutional neural networks (CNN) for the diagnosis of skin lesions. The study involved 175 lesions from 73 patients and found that the novel imaging system showed promising diagnostic performance. The researchers compared the outcomes of the CNN analysis to traditional imaging methods and found that the HSI-CNN system achieved higher specificities and did not require expertise from the user. The study suggests that the HSI-CNN system has potential for skin cancer diagnosis in primary healthcare settings and may be a useful tool for specialists in ambiguous cases. However, further studies and comparisons with other imaging modalities are needed to validate the system's performance in clinical practice. [Extracted from the article]

Details

Language :
English
ISSN :
0909752X
Volume :
30
Issue :
4
Database :
Academic Search Index
Journal :
Skin Research & Technology
Publication Type :
Academic Journal
Accession number :
177243485
Full Text :
https://doi.org/10.1111/srt.13677