Humans and wildlife inhabit a world with panoply of natural and synthetic chemicals.
Alarmingly, only a limited number of chemicals have undergone comprehensive …

Background White matter hyperintensities (WMH), of presumed vascular origin, are visible
and quantifiable neuroradiological markers of brain parenchymal change. These changes …

Background Breast cancer is a deadly disease responsible for statistical yearly global death.
Identification of cancer tumors is quite tasking, as a result, concerted efforts are thus …

Automatic identification of brain lesions from magnetic resonance imaging (MRI) scans of
stroke survivors would be a useful aid in patient diagnosis and treatment planning. It would …

Objectives A convolutional neural network (CNN) was adapted to automatically detect early-
stage nasopharyngeal carcinoma (NPC) and discriminate it from benign hyperplasia on a …

The purpose of this study was to evaluate the performance of the deep convolutional neural
network (DCNN) in differentiating between tuberculous and pyogenic spondylitis on …

Image processing has been extensively used in various (human, animal, plant) disease
diagnosis approaches, assisting experts to select the right treatment. It has been applied to …

The main objectives are (i) to study the relation of temperature of brown adipose tissue
(BAT) with respect to obesity in different regions of the human body and to predict the most …

Previous studies have indicated that white matter hyperintensities (WMH), the main
radiological feature of small vessel disease, may evolve (ie, shrink, grow) or stay stable over …

Recently, learning algorithms such as Convolutional Neural Networks have been
successfully applied in different stages of data processing from the acquisition to the data …