Simple Summary Leukemia is a type of cancer that affects white blood cells and can lead to
serious health problems and death. Diagnosing leukemia is currently performed through a …

Artificial intelligence (AI) is poised to revolutionize many aspects of science, including the
study of evolutionary morphology. While classical AI methods such as principal component …

In recent years, deep learning has revolutionized machine learning and its applications,
producing results comparable to human experts in several domains, including …

In this study, we developed an automated workflow using a deep learning model (DL) to
measure the lateral ventricle linearly in fetal brain MRI, which are subsequently classified …

Background Joint arthroplasty registries usually lack information on medical imaging owing
to the laborious process of observing and recording, as well as the lack of standard methods …

Simple Summary In our study, we addressed the challenge of the brain tumor segmentation
task using a range of MRI modalities. While leading models show proficiency on …

This study focuses on the development of novel evaluation methods for the analysis of thin
carbon reinforced concrete (CRC) structures. CRC allows for the exploration of slender …

Abdominal aortic aneurysm (AAA) is a complex vascular condition associated with high
mortality rates. Accurate abdominal aorta segmentation is essential in medical imaging …

The advancement of artificial intelligence (AI) for organ segmentation and tumor detection is
propelled by the growing availability of computed tomography (CT) datasets with detailed …

Ischemic stroke lesion segmentation in MRI images represents significant challenges,
particularly due to class imbalance between foreground and background pixels. Several …