Researchers have given immense consideration to unsupervised approaches because of
their tendency for automatic feature generation and excellent performance with a reduced …

A brain tumor is a disorder caused by the growth of abnormal brain cells. The survival rate of
a patient affected with a tumor is difficult to determine because they are infrequent and …

Simple Summary In this research, we addressed the challenging task of brain tumor
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …

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 …

Diabetic Retinopathy (DR) is a medical condition present in patients suffering from long-term
diabetes. If a diagnosis is not carried out at an early stage, it can lead to vision impairment …

Officials in the field of public health are concerned about a new monkeypox outbreak, even
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …

Food quality assurance is an important field that directly affects public health. The
organoleptic aroma of food is of crucial significance to evaluate and confirm food quality and …

Brain tumor (BT) is a serious issue and potentially deadly disease that receives much
attention. However, early detection and identification of tumor type and location are crucial …

Brain tumors (BTs) are one of the deadliest diseases that can significantly shorten a person's
life. In recent years, deep learning has become increasingly popular for detecting and …

The proper segmentation of the brain tumor from the image is important for both patients and
medical personnel due to the sensitivity of the human brain. Operation intervention would …