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

Lindholm, Vivian; Annala, Leevi; Koskenmies, Sari; Pitkänen, Sari; Isoherranen, Kirsi; Järvinen, Anna; Jeskanen, Leila; Pölönen, Ilkka; Ranki, Annamari; Raita‐Hakola, Anna‐Maria; Salmivuori, Mari

doi:10.1111/srt.13677

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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

Julkaistu sarjassa

Skin Research and Technology

Tekijät

Lindholm, Vivian |

Annala, Leevi |

Koskenmies, Sari |

Pitkänen, Sari |

Isoherranen, Kirsi |

Järvinen, Anna |

Jeskanen, Leila |

Pölönen, Ilkka |

Ranki, Annamari |

Raita‐Hakola, Anna‐Maria |

Salmivuori, Mari

Päivämäärä

2024

Oppiaine

Tietotekniikka Computing, Information Technology and Mathematics Laskennallinen tiede Mathematical Information Technology Computing, Information Technology and Mathematics Computational Science

Tekijänoikeudet

Julkaisija

Wiley-Blackwell

ISSN Hae Julkaisufoorumista

0909-752X

Lisenssi

Ellei muuten mainita, aineiston lisenssi on CC BY-NC-ND 4.0

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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

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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 ...