Semantic segmentation is one of the most challenging tasks in computer vision. However, in
many applications, a frequent obstacle is the lack of labeled images, due to the high cost of …

Combining both spatial and intensity information in image, we present an MRI brain image
segmentation approach based on multi-resolution edge detection, region selection, and …

Pattern recognition has as its objective to classify objects into different categories and
classes. It is a fundamental component of artificial intelligence and computer vision. This …

Advances in video technology allow inspection, diagnosis and treatment of the inside of the
human body without or with very small scars. Flexible endoscopes are used to inspect the …

Probably the most important technological invention of the previous century was the
transistor. And another very important invention was the digital computer, which got a …

Automatic medical image segmentation is an unsolved problem that has captured the
attention of many researchers. The purpose of this survey is to identify a representative set of …

Photoacoustic (PA) technology has been used extensively on vessel imaging due to its
capability of identifying molecular specificities and achieving high optical-diffraction-limited …

In order to automate routine fecal examination for parasitic diseases, the authors propose in
this study a computer processing algorithm using digital image processing techniques and …

In recent times, security in cloud computing has become a significant part in healthcare
services specifically in medical data storage and disease prediction. A large volume of data …

This paper deals with the implementation of Simple Algorithm for detection of range and
shape of tumour in brain MR images. Tumour is an uncontrolled growth of tissues in any part …