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Training on Polar Image Transformations Improves Biomedical Image Segmentation
IEEE Access, 2021 A key step in medical image-based diagnosis is image segmentation. A common use case for medical image segmentation is the identification of single structures of an elliptical shape. Most organs like the heart and kidneys fall into this category, as well
Marin Bencevic +3 more
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Petroleum Exploration and Development, 2019 Based on the analysis of the high-order compatibility optimization method proposed by predecessors, a new training image optimization method based on data event repetition probability is proposed.
Lixin WANG +5 more
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Constructing of 3D Fluvial Reservoir Model Based on 2D Training Images
Applied Sciences, 2023 Training images are important input parameters for multipoint geostatistical modeling, and training images that can portray 3D spatial correlations are required to construct 3D models.
Yu Li, Shaohua Li, Bo Zhang
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地质科技通报, 2021 In order to effectively improve the accuracy of delta sedimentary facies simulation, based on integrated analysis of seismic, core and logging data of Tahe Block T to quantitatively evaluate the complex relationship between recommendation, source supply ...
Tingting He +6 more
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Research on the Construction Method of a Training Image Library Based on cDCGAN
Applied Sciences, 2023 There is a close relationship between the size and property of a reservoir and the production and capacity. Therefore, in the process of oil and gas field exploration and development, it is of great importance to study the macro distribution of oil–gas ...
Jianpeng Yao, Yuyang Liu, Mao Pan
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A Multi-Point Geostatistical Modeling Method Based on 2D Training Image Partition Simulation
Mathematics, 2023 In this paper, a multi-point geostatistical (MPS) method based on variational function partition simulation is proposed to solve the key problem of MPS 3D modeling using 2D training images.
Yifei Zhao +5 more
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Frontiers in Aging Neuroscience, 2022 The Extreme Learning Machine (ELM) is a simple and efficient Single Hidden Layer Feedforward Neural Network(SLFN) algorithm. In recent years, it has been gradually used in the study of Alzheimer’s disease (AD). When using ELM to diagnose AD based on high-
Jia Lu, Weiming Zeng, Lu Zhang, Yuhu Shi
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Frontiers in Biomedical Technologies, 2022 Purpose: 32-time scan duration reduction of 18F-FDG Positron Emission Tomography (PET) images through the generation of standard scan duration images using a multi-slice cycle-consistent Generative Adversarial Network (cycle-GAN) was studied.
Ali Ghafari +4 more
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Energies, 2020 Reservoir heterogeneity is a key geological problem that restricts oil and gas exploration and development of clastic rocks from the early to late stages.
Yiming Yan, Liqiang Zhang, Xiaorong Luo
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e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2022 Intestinal parasites are among the main public health problems around the world especially in underprivileged communities where overcrowded, poor environmental sanitation and lack of access for clear and safe water are prevalent. Currently, approximately
Ideal Oscar Libouga +4 more
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