Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical
for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic …

Identifying the tumour's extent is a major challenge in planning treatment for brain tumours
and correctly measuring their size. Magnetic resonance imaging (MRI) has emerged as a …

As a mainstream research direction in the field of image segmentation, medical image
segmentation plays a key role in the quantification of lesions, three-dimensional …

Brain tumors are one of the most fatal cancers. Magnetic Resonance Imaging (MRI) is a non-
invasive method that provides multi-modal images containing important information …

Brain tumors are serious conditions caused by uncontrolled and abnormal cell division.
Tumors can have devastating implications if not accurately and promptly detected. Magnetic …

Magnetic resonance imaging is the most generally utilized imaging methodology that
permits radiologists to look inside the cerebrum using radio waves and magnets for tumor …

Background Ultrasonography—an imaging technique that can show the anatomical section
of nerves and surrounding tissues—is one of the most effective imaging methods to …

Goal: Implementation of an artificial intelli gence-based medical diagnosis tool for brain
tumor classification, which is called the BTFSC-Net. Methods: Medical images are …

Ischemic retinal diseases (IRDs) are a series of common blinding diseases that depend on
accurate fundus fluorescein angiography (FFA) image interpretation for diagnosis and …

Nowadays, unmanned aerial vehicle (UAV) remote sensing (RS) data are key operational
sources used to produce a reliable building damage map (BDM), which is of great …