Brain tumor classification is a critical task in medical imaging, as accurate diagnosis directly influences treatment planning and patient outcomes. Traditional methods often fall short in achieving the required precision due to the complex and heterogeneous nature of brain tumors. In this study, we propose an innovative approach to brain tumor multi-classification by leveraging an ensemble learning method that combines advanced deep learning models with an optimal weighting strategy.
View Article and Find Full Text PDFBMC Health Serv Res
September 2024
Background: Lebanon, an Eastern Mediterranean country with a lower-middle income status, that once boasted a health care system that was functional despite its challenges and complexity. However, it has faced a series of crises-economic, an influx of refugees, political instability, and recent sanctions-that have significantly impacted its aim, principles and values that has impacted upon its ability to function. The objective of this study is to delve into the health service delivery within the Lebanese system and conduct a SWOT analysis (assessing strengths, weaknesses, opportunities, and threats).
View Article and Find Full Text PDFSoilborne species complex (RSSC) pathogens disrupt microbial communities as they invade roots and fatally wilt plants. RSSC pathogens secrete antimicrobial toxins using a type VI secretion system (T6SS). To investigate how evolution and ecology have shaped the T6SS of these bacterial pathogens, we analyzed the T6SS gene content and architecture across the RSSC and their evolutionary relatives.
View Article and Find Full Text PDFPlastics have become indispensable in modern society; however, the proliferation of their waste has become a problem that can no longer be ignored as most plastics are not biodegradable. Depolymerization/degradation through sustainable processes in the context of the circular economy are urgent issues. The presence of multiple types of plastic materials makes it necessary to study the specific characteristics of each material.
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