Found: 11
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ReCRNet: a deep residual network for crack detection in historical buildings.
- Published in:
- Arabian Journal of Geosciences, 2021, v. 14, n. 20, p. 1, doi. 10.1007/s12517-021-08491-4
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- Article
Automatic extraction of sparse trees from high-resolution ortho-images.
- Published in:
- Arabian Journal of Geosciences, 2018, v. 11, n. 12, p. 1, doi. 10.1007/s12517-018-3680-6
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- Article
Comparison of two plain radiographic and 3D-based measurement methods for posterior malleolar fragment size in trimalleol ankle fractures.
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- Archives of Clinical & Experimental Medicine, 2020, v. 5, n. 1, p. 11, doi. 10.25000/acem.641188
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- Article
An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images.
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- Revista Ingeniería e Investigación, 2023, v. 43, n. 3, p. 1, doi. 10.15446/ing.investig.90748
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- Article
COVID-19 Diagnosis with Deep Learning.
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- Revista Ingeniería e Investigación, 2022, v. 42, n. 1, p. 1, doi. 10.15446/ing.investig.v42n1.88825
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- Article
InSiNet: a deep convolutional approach to skin cancer detection and segmentation.
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- Medical & Biological Engineering & Computing, 2022, v. 60, n. 3, p. 643, doi. 10.1007/s11517-021-02473-0
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- Article
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database.
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- Journal of Digital Imaging, 2023, v. 36, n. 1, p. 306, doi. 10.1007/s10278-022-00701-z
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- Article
3D reconstruction of foot metatarsal bones of women using CT images.
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- Mersin Photogrammetry Journal, 2024, v. 6, n. 1, p. 32, doi. 10.53093/mephoj.1435928
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- Article
Detection of COVID-19 infection from CT images using the medical photogrammetry technique.
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- Mersin Photogrammetry Journal, 2023, v. 5, n. 2, p. 42, doi. 10.53093/mephoj.1301980
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- Publication type:
- Article
Automatic prediction of covid-19 from chest- computed tomography (CT) images using deep learning architectures.
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- Gümüshane Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022, p. 76, doi. 10.17714/gumusfenbil.1002738
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- Article
MediNet: transfer learning approach with MediNet medical visual database.
- Published in:
- Multimedia Tools & Applications, 2023, v. 82, n. 25, p. 39211, doi. 10.1007/s11042-023-14831-1
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- Article