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

In the framework of computer-aided diagnosis of breast cancer, many systems were
designed for the detection, the classification and/or the content-based mammogram retrieval …

Identifying abnormality using breast mammography is a challenging task for radiologists due
to its nature. A more consistent and precise imaging based CAD system plays a vital role in …

Follicular lesions of the thyroid are traditionally difficult and tedious challenges in diagnostic
surgical pathology in part due to lack of obvious discriminatory cytological and …

Ultrasound is the most widely used imaging modality for screening of breast tumors.
However, due to the presence of speckle noise in an ultrasound image, the diagnostic …

Nuclear morphology and structure as visualized from histopathology microscopy images can
yield important diagnostic clues in some benign and malignant tissue lesions. Precise …

Classification of clustered breast microcalcifications into benign and malignant categories is
an extremely challenging task for computerized algorithms and expert radiologists alike. In …

In this paper we address the problem of differentiating between malignant and benign
tumors based on their appearance in the CC and MLO mammography views. Classification …

Computer-aided detection (CAD) systems can be served as a second view for radiologist.
An overview of recent development in CAD methods are presented in this paper …

The present work proposes a classification framework for the prediction of breast density
using an ensemble of neural network classifiers. Expert radiologists, visualize the textural …