AIMC Topic: Salivary Gland Neoplasms
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Machine learning model for preoperative classification of stromal subtypes in salivary gland pleomorphic adenoma based on ultrasound histogram analysis.
BMC oral health
Jun 3, 2025
OBJECTIVES: Accurate preoperative discrimination of salivary gland pleomorphic adenoma (SPA) stromal subtypes is essential for therapeutic plannings. We aimed to establish and test machine learning (ML) models for classification of stromal subtypes i...
Development and Evaluation of a Convolutional Neural Network for Microscopic Diagnosis Between Pleomorphic Adenoma and Carcinoma Ex-Pleomorphic Adenoma.
Head & neck
Oct 27, 2024
AIMS: To develop a model capable of distinguishing carcinoma ex-pleomorphic adenoma from pleomorphic adenoma using a convolutional neural network architecture.
A Recognition System for Diagnosing Salivary Gland Neoplasms Based on Vision Transformer.
The American journal of pathology
Oct 26, 2024
Salivary gland neoplasms (SGNs) represent a group of human neoplasms characterized by a remarkable cytomorphologic diversity, which frequently poses diagnostic challenges. Accurate histologic categorization of salivary gland tumors is crucial to make...
Prognostic prediction model for salivary gland carcinoma based on machine learning.
International journal of oral and maxillofacial surgery
Jul 8, 2024
Although rare overall, salivary gland carcinomas (SGCs) are among the most common oral and maxillofacial malignancies. The aim of this study was to develop a machine learning-based model to predict the survival of patients with SGC. Patients in whom ...
Development of machine learning models to predict lymph node metastases in major salivary gland cancers.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Jun 27, 2023
INTRODUCTION: Indications for elective treatment of the neck in patients with major salivary gland cancers are still debated. Our purpose was to develop a machine learning (ML) model able to generate a predictive algorithm to identify lymph node meta...
Neural network combining with clinical ultrasonography: A new approach for classification of salivary gland tumors.
Head & neck
May 24, 2023
OBJECTIVE: Little information is available about deep learning methods used in ultrasound images of salivary gland tumors. We aimed to compare the accuracy of the ultrasound-trained model to computed tomography or magnetic resonance imaging trained m...
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning.
IEEE journal of biomedical and health informatics
Oct 4, 2022
Nowadays, predictive medicine begins to become a reality thanks to Artificial Intelligence (AI) which allows, through the processing of huge amounts of data, to identify correlations not perceptible to the human brain. The application of AI in predic...
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...
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...
Middle Aged
Deep Learning
Thyroid Neoplasms
Image Processing, Computer-Assisted
Aged
Adult
Male
Single Photon Emission Computed Tomography Computed Tomography
Salivary Gland Calculi
Salivary Gland Neoplasms
Sodium Pertechnetate Tc 99m
Feasibility Studies
Radiopharmaceuticals
Parotid Gland
Neural Networks, Computer
Female
Humans
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.
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