Unsupervised Numerical Characterization in Determining the Borders of Malignant Skin Tumors from Spectral Imagery
Year of publication
2022
Authors
Pölönen, Ilkka; Tuovinen, Tero; Puupponen, Hannu-Heikki; Salmivuori, Mari; Grönroos, Mari; Neittaanmäki, Noora
Abstract
For accurate removal of malignant skin tumors, it is crucial to assure the complete removal of the lesions. In the case of certain ill-defined tumors, it is clinically challenging to see the true borders of the tumor. In this paper, we introduce several computationally efficient approaches based on spectral imaging to guide clinicians in delineating tumor borders. First, we present algorithms that can be used effectively with simulated skin reflectance data. By using simulated data, we gain detailed information about the sensitivity of the different approaches and how variables defined by algorithms act in the skin model. Second, we demonstrate the performance of the algorithms with spectral images taken in-vivo and representing two types of skin cancers with ill-defined borders, namely lentigo maligna and aggressive basal cell carcinoma. The results can be used as a guideline for developing software for the fast delineation of skin cancers.
Show moreOrganizations and authors
Publication type
Publication format
Article
Parent publication type
Compendium
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A3 Book section, Chapters in research booksPublication channel information
Parent publication name
Parent publication editors
Tuovinen, Tero T.; Periaux, Jacques; Neittaanmäki, Pekka
Publisher
Pages
153-176
ISSN
ISBN
Publication forum
Publication forum level
2
Open access
Open access in the publisher’s service
No
Self-archived
Yes
Other information
Fields of science
Computer and information sciences; Medical engineering
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publication country
Switzerland
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
Yes
DOI
10.1007/978-3-030-70787-3_11
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes