Computer-aided detection and diagnosis of breast cancer with mammography: recent advances

J Tang, RM Rangayyan, J Xu… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
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 …

[PDF][PDF] Image processing and machine learning techniques used in computer-aided detection system for mammogram screening-A review

S Bagchi, KG Tay, A Huong… - International Journal of …, 2020 - academia.edu
This paper aims to review the previously developed Computer-aided detection (CAD)
systems for mammogram screening because increasing death rate in women due to breast …

Mammogram image visual enhancement, mass segmentation and classification

N Al-Najdawi, M Biltawi, S Tedmori - Applied Soft Computing, 2015 - Elsevier
Mammography is the most effective technique for breast cancer screening and detection of
abnormalities. However, early detection of breast cancer is dependent on both the …

Computer-aided detection of architectural distortion in prior mammograms of interval cancer

RM Rangayyan, S Banik, JEL Desautels - Journal of Digital Imaging, 2010 - Springer
Architectural distortion is an important sign of breast cancer, but because of its subtlety, it is a
common cause of false-negative findings on screening mammograms. This paper presents …

A model‐based framework for the detection of spiculated masses on mammography a

MP Sampat, AC Bovik, GJ Whitman… - Medical …, 2008 - Wiley Online Library
The detection of lesions on mammography is a repetitive and fatiguing task. Thus, computer‐
aided detection systems have been developed to aid radiologists. The detection accuracy of …

Characterization of architectural distortion in mammograms

FJ Ayres, RM Rangayvan - IEEE Engineering in Medicine and …, 2005 - ieeexplore.ieee.org
The analysis of mammograms is a difficult task due to the subtle appearance of some
lesions. Computer-aided diagnosis (CAD) have been shown to improve the sensitivity of …

Radon-domain detection of the nipple and the pectoral muscle in mammograms

SK Kinoshita, PM Azevedo-Marques, RR Pereira… - Journal of digital …, 2008 - Springer
In this paper, methods are presented for automatic detection of the nipple and the pectoral
muscle edge in mammograms via image processing in the Radon domain. Radon-domain …

[PDF][PDF] Comparative study of user experience on mobile pedestrian navigation between digital map interface and location-based augmented reality

KC Brata, D Liang - International Journal of Electrical and …, 2020 - researchgate.net
Fast-paced mobile technology development has permitted augmented reality experiences to
be delivered on mobile pedestrian navigation context. The fact that the more prevalent of this …

Fusion of local and global features for classification of abnormality in mammograms

AC Phadke, PP Rege - Sādhanā, 2016 - Springer
Mammography is the most widely used tool for the early detection of breast cancer.
Computer-based algorithms can be developed to improve diagnostic information in …

Skelgan: A font image skeletonization method

DH Ko, AU Hassan, S Majeed… - Journal of Information …, 2021 - koreascience.kr
In this research, we study the problem of font image skeletonization using an end-to-end
deep adversarial network, in contrast with the state-of-the-art methods that use mathematical …