乳腺X线图像分析:乳腺癌风险评估与计算机辅助诊断
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￥ 74.48 7.6折 ￥ 98 全新
库存4件
作者陈智丽，姚凡，张辉[主编]
出版社科学出版社
ISBN9787030665096
出版时间2020-11
版次1
装帧平装
开本16开
纸张胶版纸
页数176页
字数312千字
定价98元
货号SC:9787030665096
上书时间2024-12-23
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内容简介:
Breast cancer is currently the most common cancer among women worldwide. Mammography is the most reliable and effective tool for the screening and early detection of breast cancer. Recently, with the rapid development of artificial intelligence technology, computer-aided diagnosis technology has become the main research topic in the field of artificial intelligence plus medical imaging. In this book, the application of computer vision and image processing techniques in mammographic image analysis is discussed. A series of mammographic image analysis methods are proposed by using advanced artificial intelligence technologies such as deep learning. A new framework for automated mammographic risk assessment and a novel model for the detection and benign versus malignant diagnosis of mass abno
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目录:
Chapter 1 Introduction 1
1.1 Breast Cancer Status 1
1.2 Mammography 2
1.3 Mammographic Risk Assessment 4
1.3.1 Wolfe’s Four Risk Categories 4
1.3.2 Boyd’s Six Class Categories 5
1.3.3 Four BIRADS Density Categories 5
1.3.4 Tabár’s Five Patterns 5
1.4 CAD in Mammography 7
1.5 Clinical Utility of the Present Research 8
1.6 Focus and Contributions of the Book 8
1.7 Book Outline 10
Chapter 2 A Literature Review of Mammographic Image Analysis 12
2.1 Mammographic Image Segmentation 12
2.1.1 Breast Region Segmentation 12
2.1.2 Breast Density Segmentation 19
2.2 Estimation of Mammographic Density 23
2.3 Characterisation of Mammographic Parenchymal Patterns 28
2.4 Breast Density Classificatio
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