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Systematic Review and Meta-Analysis to Identify the Immunocytochemical Markers Effective in Delineating Benign from Malignant Thyroid Lesions in FNAC Samples.
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- Endocrine Pathology, 2022, v. 33, n. 2, p. 243, doi. 10.1007/s12022-022-09721-5
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- Article
Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images.
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- Journal of Biomedical Optics, 2022, v. 27, n. 11, p. 115001, doi. 10.1117/1.JBO.27.11.115001
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- Article
Interpretable deep learning approach for oral cancer classification using guided attention inference network.
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- Journal of Biomedical Optics, 2022, v. 27, n. 1, p. 15001, doi. 10.1117/1.JBO.27.1.015001
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- Article
Classification of imbalanced oral cancer image data from high-risk population.
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- Journal of Biomedical Optics, 2021, v. 26, n. 10, p. 105001, doi. 10.1117/1.JBO.26.10.105001
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- Article
Mobile-based oral cancer classification for point-of-care screening.
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- Journal of Biomedical Optics, 2021, v. 26, n. 6, p. 65003, doi. 10.1117/1.JBO.26.6.065003
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- Article
Inter-observer agreement among specialists in the diagnosis of oral potentially malignant disorders and oral cancer using store-and-forward technology.
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- Clinical Oral Investigations, 2023, v. 27, n. 12, p. 7575, doi. 10.1007/s00784-023-05347-x
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- Article
Interpretable and Reliable Oral Cancer Classifier with Attention Mechanism and Expert Knowledge Embedding via Attention Map.
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- Cancers, 2023, v. 15, n. 5, p. 1421, doi. 10.3390/cancers15051421
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- Article
Field validation of deep learning based Point-of-Care device for early detection of oral malignant and potentially malignant disorders.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-18249-x
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- Article