Epileptic seizure is one of the most chronic neurological diseases that instantaneously
disrupts the lifestyle of affected individuals. Toward developing novel and efficient …

The study of neuroimaging is a very important tool in the diagnosis of central nervous system
tumors. This paper presents the evaluation of seven deep convolutional neural network …

Cancer has been found as a heterogeneous disease with various subtypes and aims to
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …

Modern computer vision algorithms are based on convolutional neural networks (CNNs),
and both end-to-end learning and transfer learning modes have been used with CNN for …

Breast cancer causes hundreds of women's deaths each year. The manual detection of
breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer …

Brain MR images are the most suitable method for detecting chronic nerve diseases such as
brain tumors, strokes, dementia, and multiple sclerosis. They are also used as the most …

Nowadays, in a world full of uncertainties and the threat of digital and cyber-attacks,
blockchain technology is one of the major critical developments playing a vital role in the …

This paper presents the development of a new complete wearable system for detecting
breast tumors based on fully textile antenna-based sensors. The proposed sensor is …

Brain tumors are among the most dangerous diseases that lead to mortality after a period of
time from injury. Therefore, physicians and healthcare professionals are advised to make an …

Brain diseases are considered life-threatening malignant diseases. Malignant brain
diseases, such as glioblastoma multiforme (GBM) and metastatic brain tumours, present …