Recent state-of-the-art image segmentation algorithms are mostly based on deep neural
networks, thanks to their high performance and fast computation time. However, these …

Accurate segmentation of the vertebrae from medical images plays an important role in
computer-aided diagnoses (CADs). It provides an initial and early diagnosis of various …

With the rapid development of the aviation industry, videoscope inspection of aeroengines
has become crucial for ensuring aircraft flight safety. Recently, deep learning, particularly …

Delineating accurately and simultaneously all lesions is vital and challenging for computer-
aided diagnosis for multiple neurofibromatosis (NF). However, existing CNN-based …

Augmented reality overlays virtual content on the physical world, displaying location-based
information more efficiently. Tracking is a trace detail of the location recorded, either by …

An accurate, fully automatic detection and segmentation technique for brain tumors in
magnetic resonance images (MRI) is introduced. The approach basically combines …

This study addresses the fine-grained segmentation of defects in bridge pavements, which is
crucial for the maintenance and structural safety of bridges. Although bridge pavements …

With the rapid development of information, the immediacy, interoperability, and portability of
information long been essential elements in present society. Technology has also continued …

One factor affecting the quality of tea is the selection of plant material that would be planted
on the field. Clonal selection is a common way to produce tea with better quality. However …

Convolutional neural networks (CNN) have been extensively utilized for image
segmentation tasks, with the U-Net architecture emerging as a classical model in medical …