Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …

To help doctors and patients evaluate lumbar intervertebral disc degeneration (IVDD)
accurately and efficiently, we propose a segmentation network and a quantitation method for …

The prevailing literature and empirical studies on organizational performance management
stress the increasing importance of non-financial performance measures and propose …

This study proposes an enhanced detection method for tunnel lining hidden objects based
on the comprehensive Ground Penetrating Radar (GPR) dataset and an improved deep …

The recent advancement in artificial intelligence approach or deep learning techniques
explored the ways to facilitate automation in various sectors. The application of deep …

In planning a mandibular posterior dental implant, identifying the exact location of the
alveolar bone (AB) and mandibular canal (MC) is essential to determine the height and …

As a result of climate change and global warming, plant diseases and pests are drawing
attention because they are dispersing more quickly than ever before. The tomato leaf miner …

The study aims to evaluate the diagnostic performance of an artificial intelligence system
based on deep learning for the segmentation of occlusal, proximal and cervical caries …

This paper presents a Refinement Pyramid Transformer (RePFormer) for robust facial
landmark detection. Most facial landmark detectors focus on learning representative image …

Nowadays, built heritage condition assessment is realized through on-site or photo-aided
visual inspections, reporting pathologies manually on drawings, photographs, notes. The …