Glioblastoma (GBM), isolated brain metastasis (SBM), and primary central nervous system
lymphoma (PCNSL) possess a high level of similarity in histomorphology and clinical …

Purpose A brain tumor is defined as any group of atypical cells occupying space in the brain.
There are more than 120 types of them. MRI scans are used for brain tumor diagnosis since …

Identifying and classifying tumors are critical in-patient care and treatment planning within
the medical domain. Nevertheless, the conventional approach of manually examining tumor …

The diagnosis of brain tumors at an early stage is an exigent task for radiologists. Untreated
patients rarely survive more than six months. It is a potential cause of mortality that can occur …

Brain cancer, one of the leading causes of mortality worldwide, is caused by brain tumors.
Early diagnosis of tumors and predicting their progression can help doctors to save lives. In …

Although the U-shaped architecture, represented by UNet, has become a major network
model for brain tumor segmentation, the repeated convolution and sampling operations can …

Objective The accurate classification of ST-segments in electrocardiograms (ECGs) is
crucial for evaluating and diagnosing myocardial ischemia. However, current algorithms for …

Accurate and efficient segmenting of vertebral bodies, muscles, and discs is crucial for
analyzing various spinal diseases. However, traditional methods are either laborious and …

Multimodal magnetic resonance imaging (MRI) provides complementary information for
brain tumor segmentation, and several methods leveraging full modalities have been …

Tumor detection has emerged as a significant aspect of neuro-oncology and
neuroradiology, with critical importance in improving patient survival rates. Tumors, whether …