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Computer-aided detection and diagnosis of breast cancer with mammography: recent advances
Breast cancer is the second-most common and leading cause of cancer death among
women. It has become a major health issue in the world over the past 50 years, and its …
women. It has become a major health issue in the world over the past 50 years, and its …
A review of automatic mass detection and segmentation in mammographic images
The aim of this paper is to review existing approaches to the automatic detection and
segmentation of masses in mammographic images, highlighting the key-points and main …
segmentation of masses in mammographic images, highlighting the key-points and main …
Automated mass detection in mammograms using cascaded deep learning and random forests
Mass detection from mammograms plays a crucial role as a pre-processing stage for mass
segmentation and classification. The detection of masses from mammograms is considered …
segmentation and classification. The detection of masses from mammograms is considered …
Approaches for automated detection and classification of masses in mammograms
HD Cheng, XJ Shi, R Min, LM Hu, XP Cai, HN Du - Pattern recognition, 2006 - Elsevier
Breast cancer continues to be a significant public health problem in the world. Early
detection is the key for improving breast cancer prognosis. Mammography has been one of …
detection is the key for improving breast cancer prognosis. Mammography has been one of …
Abnormality detection in mammography using deep convolutional neural networks
Breast cancer is the most common cancer in women worldwide. The most common
screening technology is mammography. To reduce the cost and workload of radiologists, we …
screening technology is mammography. To reduce the cost and workload of radiologists, we …
[書籍][B] Pattern recognition and signal analysis in medical imaging
A Meyer-Bäse, VJ Schmid - 2014 - books.google.com
Medical imaging is one of the heaviest funded biomedical engineering research areas. The
second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp …
second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp …
[PDF][PDF] Computer-aided detection and diagnosis in mammography
The American Cancer Society estimates that 215,990 women will be diagnosed with breast
cancer in the United States in 2004 [1]. Another 40,110 women will die of the disease. In the …
cancer in the United States in 2004 [1]. Another 40,110 women will die of the disease. In the …
Nonlinear unsharp masking for mammogram enhancement
This paper introduces a new unsharp masking (UM) scheme, called nonlinear UM (NLUM),
for mammogram enhancement. The NLUM offers users the flexibility 1) to embed different …
for mammogram enhancement. The NLUM offers users the flexibility 1) to embed different …
Watershed segmentation for breast tumor in 2-D sonography
YL Huang, DR Chen - Ultrasound in medicine & biology, 2004 - Elsevier
Automatic contouring for breast tumors using medical ultrasound (US) imaging may assist
physicians without relevant experience, in making correct diagnoses. This study integrates …
physicians without relevant experience, in making correct diagnoses. This study integrates …
Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion
OBJECTIVE. Computer-aided detection (CAD) algorithms have successfully revealed breast
masses and microcalcifications on screening mammography. The purpose of our study was …
masses and microcalcifications on screening mammography. The purpose of our study was …