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 …
Content-based image retrieval in radiology: current status and future directions
Diagnostic radiology requires accurate interpretation of complex signals in medical images.
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …
[图书][B] The image processing handbook
JC Russ - 2006 - taylorfrancis.com
Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …
more complete, modern, and hands-on tool than ever before. The Image Processing …
[PDF][PDF] Multi-class breast cancer classification using deep learning convolutional neural network
M Nawaz, AA Sewissy, THA Soliman - Int. J. Adv. Comput. Sci. Appl, 2018 - academia.edu
Breast cancer continues to be among the leading causes of death for women and much
effort has been expended in the form of screening programs for prevention. Given the …
effort has been expended in the form of screening programs for prevention. Given the …
A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs
RM Rangayyan, FJ Ayres, JEL Desautels - Journal of the Franklin Institute, 2007 - Elsevier
Mammography is the best available tool for screening for the early detection of breast
cancer. Mammographic screening has been shown to be effective in reducing breast cancer …
cancer. Mammographic screening has been shown to be effective in reducing breast cancer …
X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words
U Avni, H Greenspan, E Konen… - … on Medical Imaging, 2010 - ieeexplore.ieee.org
In this study we present an efficient image categorization and retrieval system applied to
medical image databases, in particular large radiograph archives. The methodology is …
medical image databases, in particular large radiograph archives. The methodology is …
A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology
PURPOSE: To develop and test a deep learning based computer-aided diagnosis (CAD)
scheme of mammograms for classifying between malignant and benign masses. METHODS …
scheme of mammograms for classifying between malignant and benign masses. METHODS …
A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval
L Yang, R Jin, L Mummert, R Sukthankar… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
Similarity measurement is a critical component in content-based image retrieval systems,
and learning a good distance metric can significantly improve retrieval performance …
and learning a good distance metric can significantly improve retrieval performance …
Computer-aided diagnosis of mammographic masses using scalable image retrieval
Computer-aided diagnosis of masses in mammograms is important to the prevention of
breast cancer. Many approaches tackle this problem through content-based image retrieval …
breast cancer. Many approaches tackle this problem through content-based image retrieval …
Fractal analysis of contours of breast masses in mammograms
RM Rangayyan, TM Nguyen - Journal of digital imaging, 2007 - Springer
Fractal analysis has been shown to be useful in image processing for characterizing shape
and gray-scale complexity. Breast masses present shape and gray-scale characteristics that …
and gray-scale complexity. Breast masses present shape and gray-scale characteristics that …