We present new efficient algorithm for modeling the formation permeability given the well
logs and core petrophysical properties in addition to vertical facies classification for a well in …

Nowadays, huge number of mammograms has been generated in hospitals for the
diagnosis of breast cancer. Content-based image retrieval (CBIR) can contribute more …

Brain tissue segmentation is an important component of the clinical diagnosis of brain
diseases using multi-modal magnetic resonance imaging (MR). Brain tissue segmentation …

Semantic segmentation has been widely investigated for its important role in computer
vision. However, some challenges still exist. The first challenge is how to perceive semantic …

The brain is a highly specialized organ. It serves as the control center for functions of the
body. Words, actions, thoughts, and feelings are centered in the brain. We do, however …

Breast cancer is one of the most common cause of deaths among women. Mammography is
a widely used imaging modality that can be used for cancer detection in its early stages …

Background: Numerous studies have identified factors related to nurses' intention to leave.
However, none has successfully predicted the nurse's intention to quit the job. Whether the …

Image segmentation of heterogeneous comparable objects lying beneath the earth's surface
is a fundamental but challenging research area in remote sensing. Learning approaches are …

This paper describes three cytological image segmentation methods. The analysis includes
the watershed algorithm, active contouring and a cellular automata GrowCut method. One …

There are limited studies on the semantic segmentation of high-resolution synthetic aperture
radar (SAR) images in building areas due to speckle noise and geometric distortion. For this …