Relationships between computer-extracted mammographic texture pattern features and

Texture features from mammographic images and risk of breast cancer.

Mammographic percent density (PD) is a strong risk factor for breast cancer, but there has been relatively little systematic evaluation of other features in mammographic images that might additionally predict breast cancer risk. We evaluated the association of a large number of image texture features with risk of breast cancer using a clinic-based case-control study of digitized film mammograms...

Decision Trees and Integrated Features for Computer Aided Mammographic Screening

Breast cancer is a serious problem, which in the United States causes 43,000 deaths a year, eventually striking 1 in 9 women. Early detection is the only effective countermeasure, and mass mammography screening is the only reliable means for early detection. Mass screening has many shortcomings which could be addressed by a computer-aided mammographic screening system. Accordingly, we have appl...

IRIS Recognition using Texture Features Extracted from Haarlet Pyramid

Iris recognition has been a fast growing, challenging and interesting area in real-time applications. A large number of iris recognition algorithms have been developed for decades. The paper presents novel Haarlet Pyramid based iris recognition technique. Here iris recognition is done using the image feature set extracted from Haar Wavelets at various levels of decomposition. Analysis was perfo...

Face Recognition using Texture Features Extracted form Haarlet Pyramid

Face recognition has been a fast growing, challenging and interesting area in real-time applications. A large number of face recognition algorithms have been developed for decades. The paper presents novel Haatlet Pyramid based face recognition technique. Here face recognition is done using the image feature set extracted from Haarlets applied on the image at various levels of decomposition. He...

Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition