Tumor in brain is a major cause of death in human beings. If not treated properly and timely,
there is a high chance of it to become malignant. Therefore, brain tumor detection at an …

Automated detection of brain tumor is a more challenging work due to the variability and
complexity of shape, size, texture and location of lesions. The non-invasive MRI methods …

The human brain is the primary organ, and it is located in the centre of the nervous system in
the human body. The abnormal cells in the brain are known as a brain tumor. The tumor in …

Inflammatory diseases include a wide variety of highly prevalent conditions with high
mortality rates in severe cases ranging from cardiovascular disease, to rheumatoid arthritis …

Magnetic resonance imaging (MRI) of the brain is one of the most common imaging
technologies used for brain cancer detection. Manual classification leads to more biopsies to …

In this paper, an Automated Brain Image Analysis (ABIA) system that classifies the Magnetic
Resonance Imaging (MRI) of human brain is presented. The classification of MRI images …

In classifying tea grades the current available used methods are not consistent to extract the
tea texture features accurately. which is resulting low efficiency and poor classification …

A non-invasive diagnostic support system for brain cancer diagnosis is presented in this
study. Recently, very deeper convolution neural networks are designed for computerized …

Medical imaging technology has become an important tool to conduct non-invasive
detection on human body in medical diagnosis. Therefore, image quality is particularly …

The advancement of automated medical diagnosis in biomedical engineering has become
an important area of research. Image classification is one of the diagnostic approaches that …