Hybrid gabor attention convolution and transformer interaction network with hierarchical monitoring mechanism for liver and tumor segmentation.

Liver and tumor segmentation is an important technology for the diagnosis of hepatocellular carcinoma. However, most existing methods struggle to accurately delineate the boundaries of the liver and tumor due to significant differences in their shapes, sizes, and distributions, which leads to unclear segmentation of the liver contour and incorrect delineation of the lesion area. To address this gap, we propose a hybrid gabor attention convolution and transformer interaction network with hierarchical monitoring mechanism for liver and tumor segmentation, named HyborNet.

Coopetition, exploration and exploitation capabilities, and growth performance in digital healthcare ventures.

Introduction: Studies focusing on coopetition and dynamic capabilities have expanded significantly over the past several decades. Coopetition strategy and dynamic capabilities are increasingly recognised as sources of sustained competitive advantage. The purpose of this paper is to provide a better understanding of the factors driving growth performance in digital healthcare ventures by examining the role of coopetition, exploration and exploitation capabilities, and environmental uncertainty.

Efficacy of Bimodal High-Voltage Monopulsed Current in the Treatment of Pressure Ulcer: A Systematic Review.

Background: We aimed to systematically evaluate the efficacy of high-voltage pulsed current (HVPC) in the treatment of pressure ulcer.

Methods: We searched the databases of PubMed, Cochrane Library, Elsevier and EMBASE to identify randomized controlled studies on the application of HVPC in pressure ulcer treatment, up to January 2019. Two authors independently screened the literature according to the inclusion and exclusion criteria, extracted the data and evaluated the quality.