Although there is an improvement in breast cancer detection and classification (CAD) tools,
there are still some challenges and limitations that need more investigation. The significant …

In computer-aided diagnosis one of the crucial steps to classify suspicious lesions is the
extraction of features. Texture analysis methods have been used in the analysis and …

For women in the US breast cancer is the most commonly diagnosed cancer besides skin
cancer and has become one of the major health issues in recent decades. Early detection …

Breast cancer is one of the common cancer deaths in women worldwide. Early detection is
the key to reduce the mortality rate. Clinical trials have shown that computer aided systems …

Classification of brain neoplasm images is one of the most challenging research areas in the
field of medical image processing. The main objective of this study is to design a brain …

Deep learning-based automatic classification of breast tumors using parametric imaging
techniques from ultrasound (US) B-mode images is still an exciting research area. The …

Image texture analysis plays an important role in object detection and recognition in image
processing. The texture analysis can be used for early detection of breast cancer by …

The technologies for detecting and classifying breast cancer (CAD) have improved, however
there are several problems and restrictions that still need to be looked into further. The …

In this paper, fusion of texture features to improve classification accuracy by false positive
reduction in mammograms is proposed. The method uses texture features obtained from …

It is still unexplored territory to automate the distinction of breast tumors using breast
ultrasound (US) images. The parametric image-based approach described in this research …