Showing items with similar title or keywords.

• 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 ...

• Ablative fractional laser‐assisted photodynamic therapy for lentigo maligna : a prospective pilot study 

  Räsänen, J.E.; Neittaanmäki, N.; Jeskanen, L.; Pölönen, I.; Snellman, E.; Grönroos, M. (Wiley-Blackwell Publishing Ltd., 2020)

  Background Lentigo maligna (LM) is an in‐situ form of melanoma carrying a risk of progression to invasive lentigo maligna melanoma (LMM). LM poses a clinical challenge, with subclinical extension and high recurrence rates ...

• Delineating Margins of Lentigo Maligna Using a Hyperspectral Imaging System 

  Neittaanmäki-Perttu, Noora; Grönroos, Mari; Jeskanen, Leila; Pölönen, Ilkka; Ranki, Annamari; Saksela, Olli; Snellman, Erna (Society for the Publication of Acta Dermato - Venereologica, 2015)

  Lentigo maligna (LM) is an in situ form of melanoma which can progress into invasive lentigo maligna melanoma (LMM). Variations in the pigmentation and thus visibility of the tumour make assessment of lesion ...

• Deep semantic segmentation for skin cancer detection from hyperspectral images 

  Karhu, Anette (2020)

  As skin cancer types are a growing concern worldwide, a new screening tool combined with automation may help the clinicians in clinical examinations of lesions. A novel hyperspectral imager prototype has been noted to be ...

• Piecewise anomaly detection using minimal learning machine for hyperspectral images 

  Raita-Hakola, A.-M.; Pölönen, I. (Copernicus Publications, 2021)

  Hyperspectral imaging, with its applications, offers promising tools for remote sensing and Earth observation. Recent development has increased the quality of the sensors. At the same time, the prices of the sensors are ...