Results 31 to 40 of about 9,578,892 (276)
Encoder-decoder with dense dilated spatial pyramid pooling for prostate MR images segmentation
Computer Assisted Surgery, 2019 Automatic segmentation of prostate magnetic resonance (MR) images has great significance for the diagnosis and clinical application of prostate diseases.
Lei Geng +5 more
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Cerebral Cortex, 1998 Natural visual images are typically composed of multiple objects, which need to be segregated from each other and from the background. The visual system has evolved to capture a great variety of cues that allow a meaningful segmentation of the visual input. One of these cues is connectedness.
Roelfsema, P. R., Singer, W.
openaire +3 more sources
Yankuang ceshi, 2015 Measured lead contents in geological samples were commonly lower than real values because of matrix elements interference during Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) analyses. In this study, U-bearing geological samples were
YANG Zhen +5 more
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Laboratory Detection of Novel Corona Virus 2019 Using Polymerase Chain Reaction [PDF]
, 2020 Since mid-December 2019, several cases of a pneumonia like disease (with symptoms including fever, difficulty in breathing, cough and invasive lesions on both lungs) of unknown cause have emerged in the central Chinese city of Wuhan.
Chudhary, S. A. (Shafiq) +2 more
core
, 2017 Our goal is to empirically discover how censors react to the introduction of new proxy servers that can be used to circumvent their information controls. We examine a specific case, that of obfuscated Tor bridges, and conduct experiments designed to discover how long it takes censors to block them (if they do block at all).
Fifield, David, Tsai, Lynn, Zhong, Qi
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IEEE Access, 2019 In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving target detection in clutter background.
Xiaohan Yu +5 more
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A Two-Stage Track-before-Detect Method for Non-Cooperative Bistatic Radar Based on Deep Learning
Remote Sensing, 2023 Compared with traditional active detection radar, non-cooperative bistatic radar has a series of advantages, such as a low cost and low detectability. However, in real-life scenarios, it is limited by the non-cooperation of the radiation source and the ...
Wei Xiong +3 more
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Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection [PDF]
, 2019 Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule detection in clinical practice despite their potential benefits.
Cui, Xiaonan +5 more
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Cancer Imaging, 2018 Purpose To compare diffusion tensor imaging (DTI), intravoxel incoherent motion (IVIM), and tri-exponential models of the diffusion magnetic resonance imaging (MRI) signal for the characterization of renal lesions in relationship to histopathological ...
Sophie van Baalen +8 more
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Remote Sensing, 2023 The Multiple Input Multiple Output (MIMO) radar, as a new type of radar, emits orthogonal waveforms, which provide it with waveform diversity characteristics, leading to increased degrees of freedom and improved target detection performance.
Jian Guan +5 more
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