دورية أكاديمية
Curve‐based classification approach for hyperspectral dermatologic data processing
العنوان: | Curve‐based classification approach for hyperspectral dermatologic data processing |
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المؤلفون: | Uteng, Stig, Quevedo Gutiérrez, Eduardo Gregorio, Marrero Callicó, Gustavo Iván, Castaño González, Irene, Carretero Hernández, Gregorio, Almeida Martín, Pablo, Garcia del Toro, Aday, Hernández Santana, Javier A., Godtliebsen, Fred |
المساهمون: | 57216457386, 55845740700, 56006321500, 57214689598, 6506191408, 8524503900, 55452183800, 57214748954, 55974798000, BU-TEL |
المصدر: | Sensors (Switzerland) [ISSN 1424-8220], v. 21 (3), p. 1-13 |
سنة النشر: | 2021 |
المجموعة: | Universidad de Las Palmas de Gran Canaria: Acceda |
مصطلحات موضوعية: | 3314 Tecnología médica, 320106 Dermatología, Hyperspectral, Curve fit, Statistical discrimination, Melanoma, Benign, Malignant |
الوصف: | This paper shows new contributions in the detection of skin cancer, where we present the use of a customized hyperspectral system that captures images in the spectral range from 450 to 950 nm. By choosing a 7 × 7 sub-image of each channel in the hyperspectral image (HSI) and then taking the mean and standard deviation of these sub-images, we were able to make fits of the resulting curves. These fitted curves had certain characteristics, which then served as a basis of classification. The most distinct fit was for the melanoma pigmented skin lesions (PSLs), which is also the most aggressive malignant cancer. Furthermore, we were able to classify the other PSLs in malignant and benign classes. This gives us a rather complete classification method for PSLs with a novel perspective of the classification procedure by exploiting the variability of each channel in the HSI. ; 13 |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 1424-8220 |
العلاقة: | Sensors (Switzerland); 21; Scopus; http://hdl.handle.net/10553/77331Test; 85099677035; Sí |
DOI: | 10.3390/s21030680 |
الإتاحة: | https://doi.org/10.3390/s21030680Test http://hdl.handle.net/10553/77331Test |
رقم الانضمام: | edsbas.302D60F2 |
قاعدة البيانات: | BASE |
تدمد: | 14248220 |
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DOI: | 10.3390/s21030680 |