Brain tumors in Magnetic resonance image segmentation is challenging research. With the
advent of a new era and research into machine learning, tumor detection and segmentation …

AI techniques have been widely applied in medical imaging and in all available image
modalities routinely obtained in clinical practice. While radiomics-based techniques …

Palmprint recognition system is a biometric technology, which is promising to have a high
precision. This system has started to attract the attention of researchers, especially with the …

The reason behind brain tumors is the rapid and uncontrolled growth of human cells. From
this, the developed model motivated to design of the framework for brain tumor detection …

Digital image processing is a key player in the analysis of medical images, particularly in
understanding the intricacies of abnormal brain growth development. Notably, the …

Brain tumors, capable of yielding fatal outcomes, can now be identified through MRI images.
However, their heterogeneous nature introduces challenges and time-consuming aspects to …

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 …

The present research uses a dataset of 2034 images to conduct a detailed evaluation of
machine learning models for the purpose of identifying brain tumours in MRI scans …

In recent years, upper respiratory tract infections that have affected the whole world have
caused the death of millions of people. It is predicted that similar infections may occur in the …

<? show [AQ ID= GQ2 POS=-20pt]?><? show [AQ ID= GQ4]?><? show [AQ ID= GQ5 POS=
12pt]?> In the present days, one of the deadly diseases is the brain tumor, which is formed …