Abstract Medical Image Segmentation is the process of segmenting and detecting
boundaries of anatomical structures in various types of 2D and 3D-medical images. The …

In multi-site studies of Alzheimer's disease (AD), the difference of data in multi-site datasets
leads to the degraded performance of models in the target sites. The traditional domain …

Medical tools used to bolster decision-making by medical specialists who offer malaria
treatment include image processing equipment and a computer-aided diagnostic system …

Accurate pancreas segmentation from medical images is an important yet challenging
problem for medical image analysis and medical surgery. Challenges relating to the …

Existing neural network segmentation schemes perform well in the task of segmenting
images of organs with large areas and clear morphology, such as the liver and lungs …

Purpose of the study: Medical field has highly evolved with advancements in the
technologies which prove to be beneficial for radiologists and patients for better diagnosis …

The hippocampus is closely related to many brain diseases, such as Alzheimer's disease.
Accurate measurement of the hippocampus is helpful for clinicians in identifying lesions and …

In recent years, the use of deep learning-based models for develo** advanced healthcare
systems has been growing due to the results they can achieve. However, the majority of the …

Multi-atlas-based methods are commonly used for MR brain image labeling, which
alleviates the burdening and time-consuming task of manual labeling in neuroimaging …

Background: Recent evidence suggests the presence of hippocampal neuroanatomical
abnormalities in subjects of amnestic mild cognitive impairment (aMCI). Our study aimed to …