Background: The condition of cerebral venous outflow (VO) and tissue level collaterals (TLC) can indirectly reflect microvascular perfusion in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO). This study aimed investigate the association among VO, TLC, long-term functional prognosis based on four-dimensional computed tomography angiography/perfusion (4D-CTA/CTP); compare predictive value different VO indicators for poor outcome. Methods: Enrolled AIS-LVO were...

We used two automated software commonly employed in clinical practice-Olea Sphere (Olea) and Shukun-PerfusionGo (PerfusionGo)-to compare the diagnostic utility volumetric agreement of computed tomography perfusion (CTP)-predicted final infarct volume (FIV) with true FIV patients anterior-circulation acute ischemic stroke (AIS).In all, 122 AIS who met inclusion exclusion criteria were retrospectively enrolled divided into groups: intervention group (n = 52) conservative 70), according to...

We aimed to build a deep learning-based, objective, fast, and accurate collateral circulation assessment model. included 92 patients who had suffered acute ischemic stroke (AIS) with large vessel occlusion in the anterior this study, following their admission our hospital from June 2020 August 2021. analyzed baseline whole-brain four-dimensional computed tomography angiography (4D-CTA)/CT perfusion. The images of arterial, arteriovenous, venous, late venous phases were extracted 4D-CTA...

This study aimed to compare the performance of Bayesian probabilistic method, circular Singular Value Decomposition (cSVD), and oscillation index (oSVD) algorithms in Olea Sphere for predicting infarct volume patients with acute ischemic stroke (AIS). Eighty-seven suffering from AIS large vessel occlusion were divided into improvement progression groups. The group included successful recanalization (TICI 2b-3) after thrombectomy or whose clinical symptoms improved thrombolysis. consisted did...

Identifying cardioembolic stroke is important for the decision-making of endovascular treatment and anticoagulation therapy. We aimed to explore features on 4-dimensional (4D) computed tomography angiography (4D-CTA) assess whether these can assist in classifying etiology.In this retrospective study, we analyzed images 294 patients with acute ischemic (AIS) from July 2020 February 2022 at First Affiliated Hospital Chongqing Medical University, which had been consecutively collected. The data...

In this paper, the deep learning method is applied to ship detection SAR datasets enlarge existing images of ships.This paper first introduces basic knowledge convolutional neural networks, and also common network structure.Secondly, generative adversarial GAN,, analyzes GAN principle structure according objective function, training model, advantages disadvantages GAN.This DCGAN model that combines above two, its structure, improvement process in detail.Finally, we compare loss function...

Purpose To develop deep learning models based on four-dimensional computed tomography angiography (4D-CTA) images for automatic detection of large vessel occlusion (LVO) in the anterior circulation that cause acute ischemic stroke. Methods This retrospective study included 104 LVO patients and 105 non-LVO development. Another 30 31 formed time-independent validation set. Four phases 4D-CTA (arterial phase P1, arterial–venous P2, venous P3 late P4) were arranged combined two input methods was...

Reperfusion therapies for acute ischemic stroke due to large-vessel occlusion (AIS-LVO) are highly time-dependent, and large infarction is related poor outcomes risk of symptomatic hemorrhage. It significance investigate optimize the screening means selection criteria reperfusion identify more appropriate patients with better outcomes. This study aimed compare performance attenuation changes vs. automated Alberta Stroke Program Early CT Score (ASPECTS) using angiography (CTA) source images...

A surface-based duct (SBD) is an abnormal atmospheric structure with a low probability of occurrence buta strong ability to trap electromagnetic waves. However, the existing research based on assumption that range direction surface homogeneous, which will lead productivity and large errors when applied in real-marine environment. To alleviate these issues, we propose framework for inversion inhomogeneous SBD M-profile full-coupled convolutional Transformer (FCCT) deep learning network. We...

The degree of establishment cerebrovascular collateral circulation is closely related to the prognosis patients with acute ischemic stroke, but evaluation requires high professional experience physicians because complex structure cerebral vessels themselves, and variety scoring criteria resulting in poor consistency results between physicians. Therefore, use computer-aided diagnostic techniques evaluate stroke great clinical importance. In this paper, we proposed a novel method for automatic...

Acute ischemic stroke (AIS) caused by large vessel occlusion (LVO) has high disability and mortality. However, due to the individual differences of physiological structure pathological changes between patients, it will be difficult detect occluded vessels, so as delay treatment timing. Therefore, is great significance a ssist d octors locate vessels quickly accurately in clinical practice. In this paper, we present novel multi-branch hybrid network (MBH-Net) with auxiliary attention guidance...

The accurate prediction of propagation loss radio waves in atmospheric duct environment is a hot issue radar signal transmission and target detection research. Deep learning has achieved good results many fields, there are corresponding applications the prediction. In this paper, we use time- series convolutional network (TCN) model to predict data evaporative surface over-the-horizon time compare effect with current state-of-the-art time-series models LSTM GRU. RMSE used as evaluation index...

Accurate perceptual knowledge of atmospheric characteristics in the propagation path is great significance for design communication systems. However, atmosphere above ocean inhomogeneous, which brings challenges to accurate prediction loss. Moreover, refractive index distribution model calculated from data requires at least two stations with near-sea meteorological data. In real maritime over-the-horizon or detection, only one station transmits and receives data, received loss have large...

In order to solve the problem that current text classification technology can not meet needs of data in professional fields, this paper proposes a method based on Bi-LSTM+FE-Attention model for marine data. This be integrated with web page extraction function realize automatic and classification. feature enhanced (Feature enhancement, FE), dictionary disciplines, including physical ocean, life, geology chemistry, is established study. Subject. Methods firstly, were input into Bi-LSTM model,...

Inverting the modified refractivity profile of evaporation duct from radar sea clutter has prominently pragmatic utility and widespread industry prospects. Notwithstanding, refractive index (M) structure will exhibit inhomogeneous characteristics in range direction as multifarious meteorological conditions over sea, which seriously affect tangible detection performance radar. Numerous attempts have been made to ameliorate accuracy inverted parameters profiles by utilizing various intelligent...