Mammographic Image Analysis: Breast Cancer Risk Assessment and Computer-Aided Diagnosis

內容簡介

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 abnormalities are constructed.

　　乳腺癌是威脅全球女性健康最常見的惡性腫瘤。乳腺X線攝影術是目前國際上公認的乳腺癌篩查及早期診斷的有效手段。最近人工智慧技術迅速發展，計算機輔助診斷技術成為人工智慧+醫學圖像領域的主要研究熱點。作者綜合論述了計算機視覺和圖像處理技術在乳腺X線圖像分析中的套用，採用深度學習等人工智慧領域前沿技術，提出了一系列乳腺X線圖像分析方法，構建了新的自動化乳腺癌風險評估框架及腫塊病變檢測與良惡性診斷模型。

圖書目錄

Chapter 1 IntroductionChapter 2 A Literature Review of Mammographic Image AnalysisChapter 3 Image Segmentation in MammographyChapter 4 Texture Analysis in MammographyChapter 5 Multiscale Blob Detection in MammographyChapter 6 Breast Cancer Risk AssessmentChapter 7 Discussions on Breast Cancer Risk Assessment in MammographyChapter 8 Computer-Aided Diagnosis of Breast Cancer Based on Deep LearningChapter 9 ConclusionsBibliographyBiography

Mammographic Image Analysis: Breast Cancer Risk Assessment and Computer-Aided Diagnosis

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