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Mammographic feature analysis of clustered microcalcifications for classification of breast cancer and benign breast diseases

机译：聚类微钙化的乳腺X线摄影特征分析，用于乳腺癌和良性乳腺疾病的分类

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The authors are developing a computer-aided-diagnosis approach of classifying breast cancer and benign breast disease based on clustered microcalcifications in mammograms. The classification (malignant versus benign) is made by an artificial neural network (ANN) using computer-extracted features of microcalcifications and of clusters as input. The final diagnostic recommendation is made by a radiologist who takes the computer-estimated probability of malignancy into consideration.

机译：作者正在开发一种计算机辅助诊断方法，可根据乳房X线照片中的簇状微钙化对乳腺癌和良性乳腺疾病进行分类。分类（恶性与良性）是由人工神经网络（ANN）使用计算机提取的微钙化和簇的特征作为输入进行的。放射科医生会根据计算机估计的恶性可能性做出最终的诊断建议。

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《》|1994年|P.594-595|共2页
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Yulei Jiang; Nishikawa; R.M.;
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中图分类无线电电子学、电信技术;
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专利

1. Concordance of mammographic classifications of microcalcifications in breast cancer diagnosis: Utility of the Breast Imaging Reporting and Data System (fourth edition). [J] . Cosar ZS, Cetin M, Tepe TK, Clinical imaging . 2005,第6期

机译：乳腺微钙化的乳房X线照片分类在乳腺癌诊断中的一致性：《乳房成像报告和数据系统》（第四版）的实用性。
2. Analysis of temporal changes of mammographic features: computer-aided classification of malignant and benign breast masses. [J] . Hadjiiski L, Sahiner B, Chan HP, Medical Physics . 2001,第11期

机译：乳腺摄影特征的时间变化分析：恶性和良性乳腺肿块的计算机辅助分类。
3. Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience. [J] . Burnside ES, Rubin DL, Fine JP, Radiology . 2006,第3期

机译：贝叶斯网络可预测乳腺钼靶微钙化的风险，并减少良性活检结果的数量：初步经验。
4. Potential Improvement of Computerized Classification for Malignant versus Benign Mammographic Microcalcification Clusters with the Use of Special Views [C] . Sophie Paquerault, Laura M. Yarusso, John Papaioannou Image Processing pt.2 . 2004

机译：恶性和良性乳腺微钙化聚类的计算机分类的潜在改善，特别是使用视图
5. Similarity measurement of breast cancer mammographic images using combination of mesh distance fourier transfrom and global features. [D] . Kasaudhan, Ravi. 2016

机译：使用网格距离傅里叶变换和整体特征的组合来测量乳腺癌乳房X线照片的相似性。
6. Association between mammographic breast density and histologic features of benign breast disease [O] . Karthik Ghosh, Robert A. Vierkant, Ryan D. Frank, 2017

机译：乳腺X线摄影密度与良性乳腺组织学特征之间的关系
7. Mammographic breast density and risk of breast cancer in women with atypical hyperplasia: an observational cohort study from the Mayo Clinic Benign Breast Disease (BBD) cohort [O] . 2017

机译：非典型增生妇女的乳房X光检查乳房密度和患乳腺癌的风险：来自梅奥诊所良性乳腺癌（BBD）队列的一项观察性队列研究

Mammographic feature analysis of clustered microcalcifications for classification of breast cancer and benign breast diseases

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