Results 31 to 40 of about 5,768,673 (280)
, 2022 Objectives: We developed a 3D U-Net-based deep convolutional neural network for the automatic segmentation of the vertebral cortex. The purpose of this study was to evaluate the accuracy of the 3D U-Net deep learning model.Methods: In this study, a fully
Shanshan Li (114847) +8 more
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U-Net++DSM: Improved U-Net++ for Brain Tumor Segmentation With Deep Supervision Mechanism
IEEE Access, 2023 The segmentation of brain tumors is an important and challenging content in medical image processing. Relying solely on human experts to manually segment large volumes of data can be time-consuming and delay diagnosis.
Kittipol Wisaeng
doaj +1 more source
Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation
IEEE Access, 2021 The accessibility and potential of deep learning techniques have increased considerably over the past years. Image segmentation is one of the many fields which have seen novel implementations being developed to solve problems in the domain.
Neil Micallef +2 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Forest Change Detection (FCD) is a critical component of natural resource monitoring and conservation strategies, enabling informed decision-making. Various methods utilizing the power of artificial intelligence (AI) have been developed for detecting and
Kassim Kalinaki +2 more
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Comparison of the U-Net, ResU-Net, and U-CARFnet performance.
, 2023 Comparison of the U-Net, ResU-Net, and U-CARFnet performance.
Chunhui Fan (16986055) +6 more
core +1 more source
U-Net for leaf vein segmentation.
, 2023 Images of the high-quality dataset (A) were converted to grayscale images and masked vein images were generated by conventional image processing with contrast enhancement and binarization (B) to prepare a training dataset.
Kohei Iwamasa (16624443) +1 more
core +1 more source
Comparison of our U-Net segmentation models with U-net models trained on the entire wings.
, 2023 Comparison of our U-Net segmentation models with U-net models trained on the entire wings.
Margarida Silveira (14608576) +3 more
core +1 more source
Journal of Associated Medical SciencesBackground: The contour of the high-risk clinical target volume (HR-CTV) is important in computed tomography (CT)-based cervical cancer brachytherapy to ensure adequate target tumor coverage while sparing radiation exposure to organs at risk (OARs ...
Thinnagit Srikhot +3 more
doaj +1 more source
Automated segmentation of vertebral cortex with 3D U-Net-based deep convolutional neural network
Frontiers in Bioengineering and Biotechnology, 2022 Objectives: We developed a 3D U-Net-based deep convolutional neural network for the automatic segmentation of the vertebral cortex. The purpose of this study was to evaluate the accuracy of the 3D U-Net deep learning model.Methods: In this study, a fully
Yang Li +8 more
doaj +1 more source
2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)ISIB ...
Sheng He +3 more
openaire +3 more sources