Semi-universal geo-crack detection by machine learning

Introduction: Cracks are a key feature that determines the structural integrity of rocks, and their angular distribution can be used to determine the local or regional stress patterns.The temporal growth of cracks can be monitored in order to predict impending failures of materials or structures such as a weakened dam.Thus, cracks and their spatial

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Utility of Digital Breast Tomosynthesis with Two-Dimensional Synthesized Mammography Images: A Pictorial Essay

Background Mammography has been established as the key modality in the detection and diagnosis of Takeout Containers breast cancers.Digital breast tomosynthesis (DBT) has emerged as a mammographic technique which allows improved visualization of abnormalities by reducing the effect of overlapping breast tissue.Purpose This article is a pictorial es

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A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks

Offline handwritten Chinese text recognition is one of the most challenging tasks in that it involves various Panini Grills / Sandwich Presses writing styles, complex character-touching, and large number of character categories.In this paper, we propose a residual-attention offline handwritten Chinese text recognition based on fully convolutional n

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CD36 inhibition enhances the anti-proliferative effects of PI3K inhibitors in PTEN-loss anti-HER2 resistant breast cancer cells

Abstract Background HER2-positive patients comprise approximately 20% of breast cancer cases, with HER2-targeted therapy significantly improving progression-free and DEODORANT STICK CITRUS VETIVER overall survival.However, subsequent reprogramed tumor progression due to PI3K signaling pathway activation by PIK3CA mutations and/or PTEN-loss cause an

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