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AI methods further develop X-beam materials examination.

Subjects: *ARTIFICIAL intelligence; COMPUTED tomography; SYNCHROTRON radiationJAPAN

• Source: CIO&Leader. 11/20/2023, p1-1. 1p.

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An Enhanced CT Liver Segmentation Framework Using Differential Evolution-Optimized Rényi Entropy.

• Authors : Elaraby, Ahmed^1,2 ; AlMohimeed, Abdulaziz³; Saad, Redhwan M. A.⁴

Subjects: RENYI'S entropy; COMPUTED tomography; IMAGE segmentation

• Source: Traitement du Signal. Apr2024, Vol. 41 Issue 2, p1035-1041. 7p.

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Bottleneck Feature-Based U-Net for Automated Detection and Segmentation of Gastrointestinal Tract Tumors from CT Scans.

• Authors : Gandikota, Hari Prasad¹ ; Abirami, S.¹; Kumar, M. Sunil²

Subjects: GASTROINTESTINAL tumors; COMPUTED tomography; DIGESTIVE organs

• Source: Traitement du Signal. Dec2023, Vol. 40 Issue 6, p2789-2797. 9p.

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Deep-learning versus greyscale segmentation of voids in X-ray computed tomography images of filament-wound composites.

• Authors : Upadhyay, Shailee^1,2 (AUTHOR) ; George Smith, Abraham³ (AUTHOR); Vandepitte, Dirk⁴ (AUTHOR)

Subjects: COMPUTED tomography; FILAMENT winding; IMAGE segmentation

• Source: Composites: Part A, Applied Science & Manufacturing. Feb2024, Vol. 177, pN.PAG-N.PAG. 1p.

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MSA-UNet: A Multiscale Lightweight U-Net Lung CT Image Segmentation Algorithm Under Attention Mechanism.

• Authors : Wang, Chuantao^1,2 (AUTHOR) ; Shao, Shuo¹ (AUTHOR) ; Yin, Jiajun³ (AUTHOR)

Subjects: *ALGORITHMS; LUNGS; COMPUTED tomography

• Source: International Journal on Artificial Intelligence Tools. Mar2024, Vol. 33 Issue 2, p1-21. 21p.

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Effective hybrid deep learning model for COVID‐19 patterns identification using CT images.

• Authors : Ibrahim, Dheyaa Ahmed¹ (AUTHOR) ; Zebari, Dilovan Asaad² (AUTHOR); Mohammed, Hussam J.³ (AUTHOR)

Subjects: *COVID-19; *COVID-19 pandemic; DEEP learning

• Source: Expert Systems. Dec2022, Vol. 39 Issue 10, p1-22. 22p.

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Research on Lightweight Network Segmentation of Lung Parenchyma CT Image Based on FPGA Platform.

• Authors : Dou, Yumin¹ (AUTHOR) ; Zhao, Xuezhuan^2,3,4,5 (AUTHOR)

Subjects: COMPUTED tomography; IMAGE segmentation; FEATURE extraction

• Source: International Journal of Pattern Recognition & Artificial Intelligence. Dec2023, Vol. 37 Issue 15, p1-13. 13p.

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Advanced COVID-19 CT Image Segmentation Using a Hybrid Undecimated Wavelet Transform, Fuzzy Clustering, and Anisotropic Diffusion Approach.

• Authors : Larbi, Messaouda¹; Naimi, Hilal² ; Bourennane, Mohammed²

Subjects: *COVID-19; COMPUTED tomography; WAVELET transforms

• Source: Traitement du Signal. Jun2023, Vol. 40 Issue 3, p1045-1054. 10p.

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Dual-energy approach to reduce cone-beam artefacts in a circular orbit cone-beam CT system.

• Authors : Han, C.¹; Baek, J.¹

Subjects: CONE beam computed tomography; X-ray spectra; ORBITS (Astronomy)DAVIS (Calif.)

• Source: Electronics Letters (Wiley-Blackwell). 6/25/2020, Vol. 56 Issue 13, p648-650. 3p.

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A Fully Automated Method for 3D Individual Tooth Identification and Segmentation in Dental CBCT.

• Authors : Jang, Tae Jun¹ ; Kim, Kang Cheol¹ ; Cho, Hyun Cheol¹

Subjects: CONE beam computed tomography; DEEP learning; COMPUTED tomography

• Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. Oct2022, Vol. 44 Issue 10, p6562-6568. 7p.

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