Discriminating basal cell carcinoma and Bowen's disease from benign skin lesions with a 3D hyperspectral imaging system and convolutional neural networks
Lindholm, V., Annala, L., Koskenmies, S., Pitkänen, S., Isoherranen, K., Järvinen, A., Jeskanen, L., Pölönen, I., Ranki, A., Raita‐Hakola, A., & Salmivuori, M. (2024). Discriminating basal cell carcinoma and Bowen's disease from benign skin lesions with a 3D hyperspectral imaging system and convolutional neural networks. Skin Research and Technology, 30(4), Article e13677. https://doi.org/10.1111/srt.13677
Published in
Skin Research and TechnologyAuthors
Date
2024Discipline
TietotekniikkaComputing, Information Technology and MathematicsLaskennallinen tiedeMathematical Information TechnologyComputing, Information Technology and MathematicsComputational ScienceCopyright
© 2024 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd.
Publisher
Wiley-BlackwellISSN Search the Publication Forum
0909-752XPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/207847163
Metadata
Show full item recordCollections
License
Related items
Showing items with similar title or keywords.
-
Discriminating Basal Cell Carcinoma and Bowen’s Disease with Novel Hyperspectral Imaging System and Convolutional Neural Networks
Salmivuori, Mari; Lindholm, Vivian; Annala, Leevi; Raita-Hakola, Anna-Maria; Jeskanen, Leila; Pölönen, Ilkka; Koskenmies, Sari; Pitkänen, Sari; Isoherranen, Kirsi; Ranki, Annamari (Society for Publication of Acta Dermato-Venereologica, 2022) -
Differentiating Malignant from Benign for Melanocytic and Non-melanocytic Skin Tumors : A Pilot Study on Hyperspectral Imaging and Convolutional Neural Networks
Lindholm, Vivian; Raita-Hakola, Anna-Maria; Annala, Leevi; Salmivuori, Mari; Jeskanen, Leila; Koskenmies, Sari; Pitkänen, Sari; Saari, Heikki; Pölönen, Ilkka; Isoherranen, Kirsi; Ranki, Annamari (Society for Publication of Acta Dermato-Venereologica, 2022) -
Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours : A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks
Lindholm, Vivian; Raita-Hakola, Anna-Maria; Annala, Leevi; Salmivuori, Mari; Jeskanen, Leila; Saari, Heikki; Koskenmies, Sari; Pitkänen, Sari; Pölönen, Ilkka; Isoherranen, Kirsi; Ranki, Annamari (MDPI AG, 2022)Several optical imaging techniques have been developed to ease the burden of skin cancer disease on our health care system. Hyperspectral images can be used to identify biological tissues by their diffuse reflected spectra. ... -
Hyperspectral Imaging Reveals Spectral Differences and Can Distinguish Malignant Melanoma from Pigmented Basal Cell Carcinomas : A Pilot Study
Räsänen, Janne; Salmivuori, Mari; Pölönen, Ilkka; Grönroos, Mari; Neittaanmäki, Noora (Society for Publication of Acta Dermato-Venereologica, 2021)Pigmented basal cell carcinomas can be difficult to distinguish from melanocytic tumours. Hyperspectral imaging is a non-invasive imaging technique that measures the reflectance spectra of skin in vivo. The aim of this ... -
FPI Based Hyperspectral Imager for the Complex Surfaces : Calibration, Illumination and Applications
Raita-Hakola, Anna-Maria; Annala, Leevi; Lindholm, Vivian; Trops, Roberts; Näsilä, Antti; Saari, Heikki; Ranki, Annamari; Pölönen, Ilkka (MDPI AG, 2022)Hyperspectral imaging (HSI) applications for biomedical imaging and dermatological applications have been recently under research interest. Medical HSI applications are non-invasive methods with high spatial and spectral ...