Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern
This paper proposes a computer-aided diagnosis system to analyze breast tissues in
mammograms, which performs two main tasks: breast tissue classification within a region of …
mammograms, which performs two main tasks: breast tissue classification within a region of …
Mammography classification using modified hybrid SVM-KNN
Today leading cause of cancer deaths for women is the Breast cancer. For early and
accurate detection of breast cancer, mammography is found to be the most reliable and …
accurate detection of breast cancer, mammography is found to be the most reliable and …
Application of texture analysis method for mammogram density classification
R Nithya, B Santhi - Journal of Instrumentation, 2017 - iopscience.iop.org
Mammographic density is considered a major risk factor for developing breast cancer. This
paper proposes an automated approach to classify breast tissue types in digital …
paper proposes an automated approach to classify breast tissue types in digital …
Breast cancer lesion detection from cranial-caudal view of mammogram images using statistical and texture features extraction
N Kavya, N Sriraam, N Usha, B Hiremath… - International Journal of …, 2020 - igi-global.com
Breast cancer is the most common cancer among women in the world today. Mammography
screening gives vital information about normal and abnormal regions. The task is to detect …
screening gives vital information about normal and abnormal regions. The task is to detect …
Application of statistical texture features for breast tissue density classification
It has been strongly advocated that increase in density of breast tissue is strongly correlated
with the risk of developing breast cancer. Accordingly change in breast tissue density pattern …
with the risk of developing breast cancer. Accordingly change in breast tissue density pattern …
Comparative analysis of region of interest of different sizes for breast density classification
V Sharma - Int. J. Med. Res. Health Sci, 2017 - indianjournals.com
In medical field, radiologists are more interested in region of interest (ROI) rather than whole
image. ROI is a subpart of the image that contains very important information related to the …
image. ROI is a subpart of the image that contains very important information related to the …
Formulation of probability-based pervasive information set features and Hanman transform classifier for the categorization of mammograms
With aim of detecting breast cancer at the early stages using mammograms, this study
presents the formulation of five feature types by extending the information set to encompass …
presents the formulation of five feature types by extending the information set to encompass …
Comparison of CAD systems for three class breast tissue density classification using mammographic images
It is well known that the changes in the breast tissue density are strongly correlated with the
risk of breast cancer development and therefore classifying the breast tissue density as fatty …
risk of breast cancer development and therefore classifying the breast tissue density as fatty …
Evaluating the efficacy of Gabor features in the discrimination of breast density patterns using various classifiers
A prevalent predictor of breast cancer is high density of the breast tissue. The
characterization of density patterns of the breast is of clinical significance because, as has …
characterization of density patterns of the breast is of clinical significance because, as has …
Mammogram density classification using deep convolutional neural network
R Nithya, B Santhi - Journal of Instrumentation, 2021 - iopscience.iop.org
Artificial intelligence plays an important role in the classification of medical images for
computerized diagnosis of the disease. The computer-aided medical imaging analysis …
computerized diagnosis of the disease. The computer-aided medical imaging analysis …