3D MFA: An automated 3D Multi-Feature Attention based approach for spine segmentation using a multi-stage network pruning.

Spine segmentation poses significant challenges due to the complex anatomical structure of the spine and the variability in imaging modalities, which often results in unclear boundaries and overlaps with surrounding tissues. In this research, a novel 3D Multi-Feature Attention (MFA) model is proposed for spine segmentation. The standard MobileNetv3 is modified by adding the RCBAM (Reverse Convolution Block Attention Module) module, and FPP (Feature Pyramid Pooling) for feature enhancement.

Circumferential Crack Detection in Ultra-High-Pressure Tubular Reactors with Pulsed Eddy Current Testing.

Ultra-high-pressure tubular reactors are crucial pieces of equipment for polyethylene production. Long-term operation under high temperature, high pressure, and other extremely harsh conditions can lead to various defects, with circumferential cracks posing a major safety risk. Detecting cracks is challenging, particularly when they are under a protective layer of a certain thickness.

A single-pixel and non-redundant branching-based algorithm for nailfold capillary skeleton line extraction.

Background: Static nailfold capillary parameters are important parameters that reflect the health of the human body. Disease onset or progression is often accompanied by changes in the physiological parameters of the nailfold. Hence, the physiological parameters of the nailfold are closely related to the study of disease, with their automated and high-precision measurements playing a crucial role in these studies.

NF-κB/miR-455-5p/SOCS3 Axis Aggravates Sepsis-Induced Acute Kidney Injury through Promoting Renal Inflammation.

Introduction: Sepsis is the leading contributor to acute kidney injury (AKI), responsible for 45-70% of AKI occurrences. Despite this, septic AKI is a highly multifactorial and complex condition, and our grasp of its pathogenesis is still not fully developed. Consequently, there remains a significant gap in effective diagnostic and therapeutic strategies for septic AKI.