Classification Of Several Skin Cancer Types Based On Autofluorescence Intensity Of Visible Light To Near Infrared Ratio  

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Kusmardi

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: Makara Seri Kesehatan vol. 13 no. 2 (Dec. 2009), page 79-82.
Topik: Autofluorescence; Multiexcitation; Skin Cancer

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: MM75.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Skin cancer is a malignant growth on the skin caused by many factors. The most common skin cancers are Basal Cell Cancer (BCC) and Squamous Cell Cancer (SCC). This research used discriminant analysis to classify some tissues of skin cancer based on criterion number of independent variables. Independent variable is variation of excitation light sources (LED lamp), filters, and sensors to measure Autofluorescence Intensity (IAF) of visible light to near infrared (VIS/NIR) ratio of paraffin embedded tissue biopsy from BCC, SCC, and Lipoma. From the result of discriminant analysis it was known that discriminant function is determined by 4 (four) independent variables i.e., Blue LED-Red Filter, Blue LED-Yellow Filter, UV LED-Blue Filter, and UV LED-Yellow Filter. The accuration of discriminant in classifying analysis three of skin cancer tissue is 100 %.

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