Recent years have witnessed a significant advancement in brain imaging techniques that
offer a non-invasive approach to mapping the structure and function of the brain …

Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …

Background: Early diagnosis of brain diseases is very important. Brain disease classification
is a common and complex topic in biomedical engineering. Therefore, machine learning …

In machine learning, a generative model is responsible for generating new samples of data
in terms of a probabilistic model. Generative adversarial network (GAN) has been widely …

Accurate classification and segmentation of brain tumors is a critical task to perform. The
term classification is the process of grading tumors ie, whether the tumor is Malignant …

Ultrasound-guided injection is widely used to help anesthesiologists perform anesthesia in
peripheral nerve blockade (PNB). However, it is a daunting task to accurately identify nerve …

Early and accurate detection is a solitary precaution to overcome the brain tumor. Otherwise,
it will result in a deadly disease. Brain tumor (BT) detection using magnetic resonance is an …

Accurate segmentation of brain tumors from medical images is important for diagnosis and
treatment planning, and it often requires multi-modal or contrast-enhanced images …

Brain tumor segmentation remains a challenge in medical image segmentation tasks. With
the application of transformer in various computer vision tasks, transformer blocks show the …

Automatic and accurate segmentation of the whole heart structure from 3D cardiac images
plays an important role in helping physicians diagnose and treat cardiovascular disease …