高光谱FTIR图像的三维判别分析

Netcom Pub Date : 2023-07-30 DOI:10.1109/OMN/SBFotonIOPC58971.2023.10230933

Sajid Farooq, G. Germano, K. Stancari, Rocío Raffaeli, M. Croce, Adela E. Croce, D. Zezell

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引用次数: 0

摘要

在这里，我们应用3D判别分析方法来分析正常和恶性黑色素瘤(MM)样本的FTIR高光谱图像，用于皮肤癌诊断。为此，我们使用了2个样本，分别为Normal (49k)和MM(90k)。我们的结果证明了在大数据(> 100k)上准确率高达81%的出色性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A 3D Discriminant Analysis for Hyperspectral FTIR Images

Here, we apply a 3D discriminant analysis approach to analyze FTIR hyperspectral images of normal vs malignant Melanoma (MM) samples for skin cancer diagnosis. For this porpose we used 2 samples, for Normal (49k) and for MM(90k). Our results evidence the outstanding performance with accuracy up to 81% for big data (> 100k).

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来源期刊

Netcom

自引率

0.00%

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审稿时长

18 weeks