Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review
Breast cancer is the most common form of cancer among women worldwide. Early detection
of breast cancer can increase treatment options and patients' survivability. Mammography is …
of breast cancer can increase treatment options and patients' survivability. Mammography is …
Computer-aided breast cancer detection using mammograms: a review
The American Cancer Society (ACS) recommends women aged 40 and above to have a
mammogram every year and calls it a gold standard for breast cancer detection. Early …
mammogram every year and calls it a gold standard for breast cancer detection. Early …
Real-time fire detection for video-surveillance applications using a combination of experts based on color, shape, and motion
In this paper, we propose a method that is able to detect fires by analyzing videos acquired
by surveillance cameras. Two main novelties have been introduced. First, complementary …
by surveillance cameras. Two main novelties have been introduced. First, complementary …
ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging
J Ren - Knowledge-Based Systems, 2012 - Elsevier
Classification of microcalcification clusters from mammograms plays essential roles in
computer-aided diagnosis for early detection of breast cancer, where support vector …
computer-aided diagnosis for early detection of breast cancer, where support vector …
[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 …
Quo Vadis, Atlas-Based Segmentation?
T Rohlfing, R Brandt, R Menzel, DB Russakoff… - Handbook of Biomedical …, 2005 - Springer
There are many ways to segment an image, that is, to assign a semantic label to each of its
pixels or voxels. Different segmentation techniques use different types of image information …
pixels or voxels. Different segmentation techniques use different types of image information …
A survey of image processing algorithms in digital mammography
Mammography is at present the best available technique for early detection of breast cancer.
The most common breast abnormalities that may indicate breast cancer are masses and …
The most common breast abnormalities that may indicate breast cancer are masses and …
Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis
L Wei, Y Yang, RM Nishikawa - Pattern recognition, 2009 - Elsevier
In this paper, we propose a microcalcification classification scheme, assisted by content-
based mammogram retrieval, for breast cancer diagnosis. We recently developed a machine …
based mammogram retrieval, for breast cancer diagnosis. We recently developed a machine …
Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis
A Karahaliou, S Skiadopoulos, I Boniatis… - The British journal of …, 2007 - academic.oup.com
Diagnosis of microcalcifications (MCs) is challenged by the presence of dense breast
parenchyma, resulting in low specificity values and thus in unnecessary biopsies. The …
parenchyma, resulting in low specificity values and thus in unnecessary biopsies. The …
Multiresolution mammogram analysis in multilevel decomposition
EA Rashed, IA Ismail, SI Zaki - Pattern Recognition Letters, 2007 - Elsevier
A multiresolution analysis system for interpreting digital mammograms is proposed and
tested. This system is based on using fractional amount of biggest wavelets coefficients in …
tested. This system is based on using fractional amount of biggest wavelets coefficients in …