Image segmentation is a branch of digital image processing which has numerous
applications in the field of analysis of images, augmented reality, machine vision, and many …

Brain tumor segmentation from MRIs has always been a challenging task for radiologists,
therefore, an automatic and generalized system to address this task is needed. Among all …

Early detection of brain tumors is critical to ensure successful treatment, and medical
imaging is essential in this process. However, analyzing the large amount of medical data …

The aim was to further explore the clinical value of deep learning algorithm in the field of
spinal medical image segmentation, and this study designed an improved U‐shaped …

Brain tumor segmentation refers to the process of pixel-level delineation of brain tumor
structures in medical images, such as Magnetic Resonance Imaging (MRI). Brain tumor …

With the growth of data information and the development of computer equipment, it is
extremely time-consuming and laborious to rely on the traditional manual segmentation of …

Pneumothorax is a thoracic disease leading to failure of the respiratory system, cardiac
arrest, or in extreme cases, death. Chest X-ray (CXR) imaging is the primary diagnostic …

Magnetic resonance imaging (MRI) is routinely used for brain tumor diagnosis, treatment
planning, and post-treatment surveillance. Recently, various models based on deep neural …

Purpose Non-contrast computed tomography (NCCT) is a first-line imaging technique for
determining treatment options for acute ischemic stroke (AIS). However, its poor contrast and …

Accurate segmentation of brain tumors from magnetic resonance imaging (MRI) is crucial for
diagnosis, treatment planning, and monitoring of patients with neurological disorders. This …