首页> 外文期刊>Journal of the American Academy of Dermatology >Reply to: 'Computer-aided classification of melanocytic lesions using dermoscopic images: Low reported accuracy for reader study on melanomas with low melanoma in situ to invasive melanoma ratio''

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Reply to: 'Computer-aided classification of melanocytic lesions using dermoscopic images: Low reported accuracy for reader study on melanomas with low melanoma in situ to invasive melanoma ratio''

机译：答复：“使用皮肤镜图像对黑素细胞病变进行计算机辅助分类：对于低原位黑色素瘤与浸润性黑色素瘤比率低的黑色素瘤的读者研究，报道的准确性较低”

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来源
《Journal of the American Academy of Dermatology》 |2016年第3期|共1页
作者
Ferris Laura K.; Satyanarayanan Mahadev;
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正文语种 eng
中图分类皮肤病学与性病学;
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1. Reply to: "Computer-aided classification of melanocytic lesions using dermoscopic images: Low reported accuracy for reader study on melanomas with low melanoma in situ to invasive melanoma ratio'' [J] . Ferris Laura K., Satyanarayanan Mahadev Journal of the American Academy of Dermatology . 2016,第3期

机译：答复：“使用皮肤镜图像对黑素细胞病变进行计算机辅助分类：对于低原位黑色素瘤与浸润性黑色素瘤比率低的黑色素瘤的读者研究，报道的准确性较低”
2. Computer-aided classification of melanocytic lesions using dermoscopic images: Low reported accuracy for reader study on melanomas with low melanoma in situ to invasive melanoma ratio [J] . Schumacher Bryce, Mishra Nabin K., Dusza Stephen W., Journal of the American Academy of Dermatology . 2016,第3期

机译：使用皮肤镜图像对黑素细胞病变进行计算机辅助分类：对于低位黑色素瘤原位与浸润性黑色素瘤比率的读者研究，报道的准确性较低
3. Risk for nevus transformation and melanoma proliferation and invasion during natalizumab treatment: Four years of dermoscopic follow-up with immunohistological studies and proliferation and invasion assays [J] . PharaonM., TichetM., Lebrun-FrénayC., JAMA dermatology . 2014,第8期

机译：那他珠单抗治疗期间痣转化和黑色素瘤增殖和侵袭的风险：四年的皮肤镜随访及免疫组织学研究和增殖与侵袭试验
4. An Effective Hair Detection Algorithm for Dermoscopic Melanoma Images of Skin Lesions [C] . Damayanti Chakraborti, Ravneet Kaur, Scott Umbaugh, Conference on applications of digital image processing XXXIX . 2016

机译：皮肤病变皮肤黑色素瘤图像的有效毛发检测算法
5. Molecular classification and prediction of metastatic potential in early malignant melanoma: Improvement of prognostic accuracy by quantitative in situ proteomic analysis [D] . Berger, Aaron J. 2006

机译：早期恶性黑色素瘤的分子分类和转移潜能预测：通过定量原位蛋白质组学分析提高预后准确性
6. Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images [O] . Kajsa Møllersen, Herbert Kirchesch, Maciel Zortea, -1

机译：用于黑素细胞和非黑素细胞皮肤病变的黑色素瘤检测的计算机辅助决策支持：基于皮肤镜图像自动分析的两种系统的比较
7. Reply to: “Computer-aided classification of melanocytic lesions using dermoscopic images: Low reported accuracy for reader study on melanomas with low melanoma in situ to invasive melanoma ratio” [O] . Laura K. Ferris, Mahadev Satyanarayanan 2016

机译：回复：“使用Dermoscopic图像的”黑素细胞病变的计算机辅助分类：低音读者对黑色素瘤的读者研究的准确度，原位对侵入黑色素瘤比例“

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