Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM
This work is directed toward the development of a computer-aided diagnosis (CAD) system
to detect abnormalities or suspicious areas in digital mammograms and classify them as …
to detect abnormalities or suspicious areas in digital mammograms and classify them as …
Geometry-based pectoral muscle segmentation from MLO mammogram views
Computer-aided diagnosis systems (CADx) play a major role in the early diagnosis of breast
cancer. Extracting the breast region precisely from a mammogram is an essential …
cancer. Extracting the breast region precisely from a mammogram is an essential …
A new fuzzy Gaussian mixture model (FGMM) based algorithm for mammography tumor image classification
Computer aided diagnosis systems are recently introduced to increase the accuracy of
mammography interpretation. This paper introduces a new classification algorithm based on …
mammography interpretation. This paper introduces a new classification algorithm based on …
Density-wise two stage mammogram classification using texture exploiting descriptors
Breast cancer is becoming pervasive with each passing day. Hence, its early detection is a
big step in saving the life of any patient. Mammography is a common tool in breast cancer …
big step in saving the life of any patient. Mammography is a common tool in breast cancer …
Metrological characterization of a CADx system for the classification of breast masses in mammograms
A Mencattini, M Salmeri, G Rabottino… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
In this paper, we perform the assessment of a CAD for the tumoral masses classification in
mammograms by the uncertainty propagation through the system. Carrying on the work of …
mammograms by the uncertainty propagation through the system. Carrying on the work of …
Multi-mass breast cancer classification based on hybrid descriptors and memetic meta-heuristic learning
K Rezaee, A Rezaee, N Shaikhi, J Haddadnia - SN Applied Sciences, 2020 - Springer
Among the causes of death in the world, breast cancer is considered the most common
cause of mortality among women to the extent that one in five deaths among women is …
cause of mortality among women to the extent that one in five deaths among women is …
Performance evaluation of a region growing procedure for mammographic breast lesion identification
G Rabottino, A Mencattini, M Salmeri, F Caselli… - Computer Standards & …, 2011 - Elsevier
At present, mammography is the most effective examination for an early diagnosis of breast
cancer. Nevertheless, the detection of cancer signs in mammograms is a difficult procedure …
cancer. Nevertheless, the detection of cancer signs in mammograms is a difficult procedure …
[PDF][PDF] Review on mammogram mass detection by machinelearning techniques
V Raman, P Sumari, HH Then… - International Journal of …, 2011 - academia.edu
Breast cancer continues to be a significant public health problem in the world and number
one cause for death rate in Malaysia. Early detection is the key for improving breast cancer …
one cause for death rate in Malaysia. Early detection is the key for improving breast cancer …
[HTML][HTML] Designing an algorithm for cancerous tissue segmentation using adaptive k-means cluttering and discrete wavelet transform
K Rezaee, J Haddadnia - Journal of Biomedical Physics & …, 2013 - ncbi.nlm.nih.gov
Background: Breast cancer is currently one of the leading causes of death among women
worldwide. The diagnosis and separation of cancerous tumors in mammographic images …
worldwide. The diagnosis and separation of cancerous tumors in mammographic images …
Roi segmentation using local binary image
Segmentation of ROI is an important and challenging task in the development of CAD
system for the detection of breast cancer. This work proposes a Local Binary Image (LBI) to …
system for the detection of breast cancer. This work proposes a Local Binary Image (LBI) to …