Medical images classification for skin cancer using quantitative image features with optical coherence tomography - 源码 - 源码 - 免费下载

Medical images classification for skin cancer using quantitative image features with optical coherence tomography

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资源说明：Optical coherence tomography (OCT) is employed in the diagnosis of skin cancer. Particularly, quantitative image features extracted from OCT images might be used as indicators to classify the skin tumors. In the present paper, we investigated intensity-based, texture-based and fractalbased features for automatically classifying the melanomas, basal cell carcinomas and pigment nevi. Generalized estimating equations were used to test for differences between the skin tumors. A modified p value of <

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