Demystifying evidential Dempster Shafer-based CNN architecture for fetal plane detection from 2D ultrasound images leveraging fuzzy-contrast enhancement and explainable AI.

Ultrasound imaging is a valuable tool for assessing the development of the fetal during pregnancy. However, interpreting ultrasound images manually can be time-consuming and subject to variability. Automated image categorization using machine learning algorithms can streamline the interpretation process by identifying stages of fetal development present in ultrasound images.

Neutrophil extracellular traps in patients with sepsis.

Background: Release of neutrophil extracellular traps (NETs) has been identified as an important aspect of innate immunity. We examined whether sepsis had any influence on ex vivo generation of NETs by neutrophils.

Materials And Methods: We isolated neutrophils from consecutive patients with sepsis (n = 17) and without sepsis (n = 18) admitted to the intensive care unit.