Simple Summary The rapidly advancing field of deep learning, specifically transformer-
based architectures and attention mechanisms, has found substantial applicability in …

Skin lesion segmentation is an indispensable step in the diagnostic process of skin
diseases. Using deep learning networks for skin lesion segmentation can enhance the work …

Accurate segmentation of pituitary adenoma lesions is essential for effective diagnosis and
treatment planning. However, traditional algorithms struggle with this task due to the …

With the rise of artificial intelligence approaches, fully automatic tooth segmentation models
from Cone-beam Computed Tomography (CBCT) images become more popular for dental …

In recent years, with the advancement of medical imaging technology, medical image
segmentation has played a key role in assisting diagnosis and treatment planning. Current …

In the field of image object detection and semantic segmentation, improving the accuracy of
object identification and segmentation is a primary goal. To achieve this, leveraging the …

Digitization through the Internet of Things (IoT) is a key measure for preserving ancient
books. As a crucial aspect of digitization, text detection plays an essential role in the …

Abstract Three-dimensional (3D) occupancy perception technology aims to enable
autonomous vehicles to observe and understand dense 3D environments. Estimating the …

Background and Objective Current tongue segmentation methods often struggle with
extracting global features and performing selective filtering, particularly in complex …

Ceramic tiles are one of the most indispensable materials for interior decoration. The
ceramic patterns can't match the design requirements in terms of diversity and interactivity …