The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …

Breast cancer is a crucial reason for death in females. Early recognition of this disease with
the assistance of mammography reduces the death rate. Deep learning (DL) is an approach …

RATIONALE AND OBJECTIVES: To investigate the feasibility using quantitative
morphology/texture features of breast lesions for diagnostic prediction, and to explore the …

Low-dose helical computed tomography (LDCT) is being applied as a modality for lung
cancer screening. It may be difficult, however, for radiologists to distinguish malignant from …

The impressive performance of humans in processing visual information is a constant
source of inspiration for researchers who are trying to understand, to model, and even to …

Breast cancer is the most common type of cancer among women in the western world. While
mammography is regarded as the most effective tool for the detection and diagnosis of …

Introduction Cancer is a major public health problem and a global leading cause of death
where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and …

We present an evaluation and comparison of the performance of four different texture and
shape feature extraction methods for classification of benign and malignant …

US 2002/0165837 A1 Nov. 7, 2002 a “C Related US Application Data(57) ABSTRACT (63)
continuation'in'part of application NO~ 09/633> 4_10> DigitiZed image data are input into a …