Clusters of microcalcifications in mammograms are an important early sign of breast cancer.
This paper presents a computer-aided diagnosis (CAD) system for the automatic detection of …

An intelligent computer-aided diagnosis system can be very helpful for radiologist in
detecting and diagnosing microcalcification patterns earlier and faster than typical screening …

Digital mammography is one of the most suitable methods for early detection of breast
cancer. It uses digital mammograms to find suspicious areas containing benign and …

A computationally efficient mixed feature based neural network (MFNN) is proposed for the
detection of microcalcification clusters (MCCs) in digitized mammograms. The MFNN …

Digital mammography is one of the most suitable methods for early detection of breast
cancer. It uses digital mammograms to find suspicious areas containing benign and …

This paper presents a new, simple and fast approach for character segmentation of
unconstrained handwritten words. The proposed approach first seeks the possible character …

Automatic defects detection in Magnetic Resonance Images (MRI) is a crucial factor in
several diagnostic applications. This paper presents an intelligent Neural Networks (NN) …

A computer vision system to recognize license plates of vehicles in real-time environments is
presented in this study. The images of moving vehicles are taken with a digital camera and …

This paper presents a new, simple and fast approach for character segmentation of
unconstrained handwritten words. The developed segmentation algorithm over-segments in …

Cancer is the unrestrained growth of irregular cells in the body and is a foremost death
reason over the world. Recently, a number of studies are going on for cancer classification …