Found: 28
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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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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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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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Small form factor, flexible, dual-modality handheld probe for smartphone-based, point-of-care oral and oropharyngeal cancer screening.
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- Journal of Biomedical Optics, 2019, v. 24, n. 10, p. 1, doi. 10.1117/1.JBO.24.10.106003
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- Article
Rapid and Label-Free Histopathology of Oral Lesions Using Deep Learning Applied to Optical and Infrared Spectroscopic Imaging Data.
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- Journal of Personalized Medicine, 2024, v. 14, n. 3, p. 304, doi. 10.3390/jpm14030304
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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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CD44-SNA1 integrated cytopathology for delineation of high grade dysplastic and neoplastic oral lesions.
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- PLoS ONE, 2023, v. 18, n. 9, p. 1, doi. 10.1371/journal.pone.0291972
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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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A mouse gene encoding a novel member of the WD family of proteins is highly conserved and predominantly expressed in the testis (Wdr13).
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- Molecular Reproduction & Development, 2005, v. 72, n. 3, p. 299, doi. 10.1002/mrd.20362
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Resistance/response molecular signature for oral tongue squamous cell carcinoma.
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- Disease Markers, 2012, v. 32, n. 1, p. 51, doi. 10.1155/2012/926703
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Establishment and characterization of triple drug resistant head and neck squamous cell carcinoma cell lines.
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- Molecular Medicine Reports, 2015, v. 12, n. 2, p. 3025, doi. 10.3892/mmr.2015.3768
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Meta-Analyses of Microarray Datasets Identifies ANO1 and FADD as Prognostic Markers of Head and Neck Cancer.
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- PLoS ONE, 2016, v. 11, n. 1, p. 1, doi. 10.1371/journal.pone.0147409
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- Article
Cancer stem cells and fibroblast niche cross talk in an in‐vitro oral dysplasia model.
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- Molecular Carcinogenesis, 2019, v. 58, n. 5, p. 820, doi. 10.1002/mc.22974
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Curcumin and metformin-mediated chemoprevention of oral cancer is associated with inhibition of cancer stem cells.
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- Molecular Carcinogenesis, 2017, v. 56, n. 11, p. 2446, doi. 10.1002/mc.22692
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Cancer stem cell mediated acquired chemoresistance in head and neck cancer can be abrogated by aldehyde dehydrogenase 1 A1 inhibition.
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- Molecular Carcinogenesis, 2017, v. 56, n. 2, p. 694, doi. 10.1002/mc.22526
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A minimal set of internal control genes for gene expression studies in head and neck squamous cell carcinoma.
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- PeerJ, 2018, p. 1, doi. 10.7717/peerj.5207
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T-Cell Infiltration and Immune Checkpoint Expression Increase in Oral Cavity Premalignant and Malignant Disorders.
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- Biomedicines, 2022, v. 10, n. 8, p. N.PAG, doi. 10.3390/biomedicines10081840
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Chairside molecular imaging of aberrant glycosylation in subjects with suspicious oral lesions using fluorescently labeled wheat germ agglutinin.
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- Head & Neck, 2018, v. 40, n. 2, p. 292, doi. 10.1002/hed.24943
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Factors predicting outcome after salvage treatment for stage IV oral squamous cell carcinoma: Evidence of the potential importance of the cyclooxygenase-2-prostaglandin E<sub>2</sub> pathway.
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- Head & Neck, 2015, v. 37, n. 8, p. 1142, doi. 10.1002/hed.23721
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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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Reference gene evaluation for normalization of gene expression studies with lymph tissue and node-derived stromal cells of patients with oral squamous cell carcinoma.
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- Oncology Letters, 2024, v. 28, n. 5, p. 1, doi. 10.3892/ol.2024.14673
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Mobile health application for remote oral cancer surveillance.
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- Journal of the American Dental Association (JADA), 2015, v. 146, n. 12, p. 886, doi. 10.1016/j.adaj.2015.05.020
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Molecular prognosticators in clinically and pathologically distinct cohorts of head and neck squamous cell carcinoma—A meta-analysis approach.
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- PLoS ONE, 2019, v. 14, n. 7, p. 1, doi. 10.1371/journal.pone.0218989
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Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities.
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- PLoS ONE, 2018, v. 13, n. 12, p. 1, doi. 10.1371/journal.pone.0207493
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Sample preparation method considerations for integrated transcriptomic and proteomic analysis of tumors.
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- Proteomics - Clinical Applications, 2017, v. 11, n. 3/4, p. n/a, doi. 10.1002/prca.201600100
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Mobile microscopy as a screening tool for oral cancer in India: A pilot study.
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- PLoS ONE, 2017, v. 12, n. 11, p. 1, doi. 10.1371/journal.pone.0188440
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Establishment and characterization of novel autologous pair cell lines from two Indian non-habitual tongue carcinoma patients.
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- Oncology Reports, 2022, v. 48, n. 3, p. N.PAG, doi. 10.3892/or.2022.8362
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- Article