Enhanced Regularized Ensemble Encoderdecoder Network for Accurate Brain Tumor Segmentation.

Background: Segmenting tumors in MRI scans is a difficult and time-consuming task for radiologists. This is because tumors come in different shapes, sizes, and textures, making them hard to identify visually.

Objective: This study proposes a new method called the enhanced regularized ensemble encoder-decoder network (EREEDN) for more accurate brain tumor segmentation.

Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans.

A brain tumor is a significant health concern that directly or indirectly affects thousands of people worldwide. The early and accurate detection of brain tumors is vital to the successful treatment of brain tumors and the improved quality of life of the patient. There are several imaging techniques used for brain tumor detection.

Impact of COVID-19 Pandemic on Medical Education: A Cross-Sectional Study in the Western Region of Saudi Arabia.

Background: As the Coronavirus Disease 2019 (COVID-19) outbreak has made a tremendous impact on medical education and healthcare institutions, we aimed to measure effects of online classes on medical students' comprehension in comparison with attending campus classes during the COVID-19 pandemic.

Methods: A cross-sectional survey has been conducted between September 2020 and June 2021 in the western region of Saudi Arabia. The Convenience sampling technique was conducted to collect the data from medical students in their basic and clinical years, using a questionnaire that involved 45 multiple-choice and multiple-answer questions.

Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique.

DNA microarray technologies enable the analysis of the expression of numerous genes in an individual experiment and become an important approach in the field of medicine and biology for investing genetic function, regulation, and interaction. Microarray images can be investigated well for obtaining the contained genetic data. But is it undesirable to retain the genetic data and avoid the microarray images? Due to considerable attention to DNA microarray and several experiments being performed under distinct conditions, a massive quantity of data gets produced over the globe.

Leveraging Tweets for Artificial Intelligence Driven Sentiment Analysis on the COVID-19 Pandemic.

The COVID-19 pandemic has been a disastrous event that has elevated several psychological issues such as depression given abrupt social changes and lack of employment. At the same time, social scientists and psychologists have gained significant interest in understanding the way people express emotions and sentiments at the time of pandemics. During the rise in COVID-19 cases with stricter lockdowns, people expressed their sentiments on social media.

Prediction Model of Adverse Effects on Liver Functions of COVID-19 ICU Patients.

SARS-CoV-2 is a recently discovered virus that poses an urgent threat to global health. The disease caused by this virus is termed COVID-19. Death tolls in different countries remain to rise, leading to continuous social distancing and lockdowns.