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 …

Optic never fibers in the visual pathway play significant roles in vision formation. Damages of
optic nerve fibers are biomarkers for the diagnosis of various ophthalmological and …

Kidney segmentation is an important step for computer-aided diagnosis or treatment in
urology. In this paper, we present an automatic method based on multi-atlas image …

The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance
imaging (dMRI) provides a valuable quantitative tool for the analysis of the morphology and …

Label fusion is a critical step in many image segmentation frameworks (eg, multi-atlas
segmentation) as it provides a mechanism for generalizing a collection of labeled examples …

The segmentation of the anterior visual pathway (AVP) from MRI sequences is challenging
because of the thin long architecture, structural variations along the path, and poor contrast …

This study proposes a new segmentation method called gradient-based edge detection with
skeletonization (GES) for the cross-sectional optic nerve on magnetic resonance (MR) …

It is not well understood how neighborhood disadvantage is associated with specific
domains of cognitive function and underlying brain health within older adults. Thus, the …

The segmentation of the retinogeniculate visual pathway (RGVP) is a significant quantitative
tool for analyzing the anatomy and trajectory of individual RGVP. However, due to the …

The segmentation of the retinogeniculate visual pathway (RGVP) enables quantitative
analysis of its anatomical structure. Multimodal learning has exhibited considerable potential …