Use of Deep Learning in the Classification of Benign Lesions, Lumina! A Cancers, and Other Molecular Cancer Subtypes in Breast Magnetic Resonance Imaging

Whitney H.; Antropova N.; Giger M.

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Use of Deep Learning in the Classification of Benign Lesions, Lumina! A Cancers, and Other Molecular Cancer Subtypes in Breast Magnetic Resonance Imaging

机译：利用深度学习在良性病变的良好状态下，Lumina！乳腺磁共振成像中的癌症和其他分子癌亚型

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来源
《Medical Physics》 |2018年第6期|共1页
作者
Whitney H.; Antropova N.; Giger M.;
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作者单位

Wheaton Coll Wheaton IL 60187 USA;

Univ Chicago Chicago IL 60637 USA;

Univ Chicago Chicago IL 60637 USA;

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正文语种 eng
中图分类基础医学;
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1. Use of Deep Learning in the Classification of Benign Lesions, Lumina! A Cancers, and Other Molecular Cancer Subtypes in Breast Magnetic Resonance Imaging [J] . Whitney H., Antropova N., Giger M. Medical Physics . 2018,第6期

机译：利用深度学习在良性病变的良好状态下，Lumina！乳腺磁共振成像中的癌症和其他分子癌亚型
2. Effects of Neoadjuvant Chemotherapy on Benign Breast Lesions Compared to Cancers: Should an Additional Lesion on Magnetic Resonance Imaging Responding Similar to Cancer after Neoadjuvant Chemotherapy be Viewed with Suspicion? [J] . Rebecca Leddy, Abid Irshad, Lara Hewett, Journal of Clinical Imaging Science . 2016,第1期

机译：Neoadjuvant化疗对良性乳腺病变的影响与癌症相比：在怀疑后，Neoadjuvant化疗后，磁共振成像的额外病变是否与癌症相似？
3. Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning [J] . Xinggang Wang, Wei Yang, Jeffrey Weinreb, Scientific reports. . 2017,第1期

机译：通过全自动磁共振成像分类搜索前列腺癌：深度学习与非深度学习
4. Radiogenomic Analysis of Breast Cancer; Dynamic Contrast Enhanced - Magnetic Resonance Imaging Based Features are Associated with Molecular Subtypes [C] . Shijian Wang, Ming Fan, Juan Zhang, Conference on PACS and imaging informatics . 2016

机译：乳腺癌的放射基因组学分析;动态对比度增强-基于磁共振成像的特征与分子亚型相关
5. Pattern recognition applied to the computer-aided detection and diagnosis of breast cancer from dynamic contrast-enhanced magnetic resonance breast images. [D] . Levman, Jacob. 2010

机译：模式识别从动态对比增强的磁共振乳腺图像应用于计算机辅助乳腺癌的检测和诊断。
6. Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with benign lesions and evaluation of heterogeneity in different tumor regions with prognostic factors and molecular classification [O] . Ming Zhao, Kuang Fu, Lei Zhang, -1

机译：乳腺癌体内不相干运动磁共振成像：与良性病变的比较并通过预后因素和分子分类评估不同肿瘤区域的异质性
7. Effects of Neoadjuvant Chemotherapy on Benign Breast Lesions Compared to Cancers: Should an Additional Lesion on Magnetic Resonance Imaging Responding Similar to Cancer after Neoadjuvant Chemotherapy be Viewed with Suspicion? [O] . Rebecca Leddy, Abid Irshad, Lara Hewett, 2016

机译：新辅助化疗对良性乳腺病变的影响与癌症相比：新辅助化疗后磁共振成像对癌症的影响是否应与疑似相关？

Use of Deep Learning in the Classification of Benign Lesions, Lumina! A Cancers, and Other Molecular Cancer Subtypes in Breast Magnetic Resonance Imaging

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