AIMC Topic: Salivary Gland Neoplasms

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A tree-based machine learning model to approach morphologic assessment of malignant salivary gland tumors.

Annals of diagnostic pathology Nov 18, 2021
Malignant salivary gland tumors represent a challenge for pathologists due to their low frequency and morphologic overlap. In recent years machine learning techniques have been applied to the field of pathology to improve diagnostic performance. In t...
Humans Machine Learning Female Aged Adult Biomarkers, Tumor Male Middle Aged Adenocarcinoma Diagnosis, Differential Salivary Gland Neoplasms Carcinoma, Mucoepidermoid
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Quantitative salivary gland SPECT/CT using deep convolutional neural networks.

Scientific reports Apr 9, 2021
Quantitative single-photon emission computed tomography/computed tomography (SPECT/CT) using Tc-99m pertechnetate aids in evaluating salivary gland function. However, gland segmentation and quantitation of gland uptake is challenging. We develop a sa...
Humans Neural Networks, Computer Female Aged Adult Male Middle Aged Deep Learning Thyroid Neoplasms Image Processing, Computer-Assisted Feasibility Studies Radiopharmaceuticals Parotid Gland Single Photon Emission Computed Tomography Computed Tomography Salivary Gland Calculi Salivary Gland Neoplasms Sodium Pertechnetate Tc 99m
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Applications of Computational Pathology in Head and Neck Cytopathology.

Acta cytologica Feb 23, 2021
BACKGROUND: The application of computational technology to head and neck cytology material has been explored experimentally in several areas with a variety of potential applications.
Humans Artificial Intelligence Reproducibility of Results Diagnosis, Computer-Assisted Thyroid Neoplasms Squamous Cell Carcinoma of Head and Neck Predictive Value of Tests Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Salivary Gland Neoplasms
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[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2024
PURPOSE: To identify potential biomarkers of salivary gland adenoid cystic carcinoma to further understand the potential pathogenesis of adenoid cystic carcinoma.
Humans Machine Learning Biomarkers, Tumor Gene Expression Profiling ROC Curve Gene Regulatory Networks Gene Expression Regulation, Neoplastic RNA, Long Noncoding Salivary Gland Neoplasms Carcinoma, Adenoid Cystic
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