AIMC Topic: Nose Neoplasms

Clear Filters Showing 1 to 4 of 4 articles

Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI.

BMC medical imaging Feb 21, 2025
PURPOSE: To develop MRI-based deep learning (DL) models for distinguishing sinonasal squamous cell carcinoma (SCC), adenoid cystic carcinoma (ACC) and olfactory neuroblastoma (ONB) and to evaluate whether the DL models could improve the diagnostic pe...
Humans Retrospective Studies Diagnosis, Differential Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Carcinoma, Adenoid Cystic Esthesioneuroblastoma, Olfactory Paranasal Sinus Neoplasms Nose Neoplasms Male Adult Deep Learning Middle Aged Female Aged Carcinoma, Squamous Cell
View on PubMed DOI

Machine Learning of Endoscopy Images to Identify, Classify, and Segment Sinonasal Masses.

International forum of allergy & rhinology Jan 8, 2025
BACKGROUND: We developed and assessed the performance of a machine learning model (MLM) to identify, classify, and segment sinonasal masses based on endoscopic appearance.
Nasal Polyps Paranasal Sinuses Middle Aged Paranasal Sinus Neoplasms Nose Neoplasms Female Male Endoscopy Neural Networks, Computer Machine Learning Humans
View on PubMed DOI

Deep Learning Model for the Differential Diagnosis of Nasal Polyps and Inverted Papilloma by CT Images: A Multicenter Study.

Academic radiology Dec 26, 2024
RATIONALE AND OBJECTIVES: Nasal polyps (NP) and inverted papilloma (IP) are benign tumors within the nasal cavity, each necessitating distinct treatment approaches. Herein, we investigate the utility of a deep learning (DL) model for distinguishing b...
Adult Aged Male Sensitivity and Specificity Humans Tomography, X-Ray Computed Female Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Deep Learning Middle Aged Diagnosis, Differential Nose Neoplasms Papilloma, Inverted Nasal Polyps
View on PubMed DOI

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.

BMC medical informatics and decision making May 29, 2024
BACKGROUND: Nasal polyps and inverted papillomas often look similar. Clinically, it is difficult to distinguish the masses by endoscopic examination. Therefore, in this study, we aimed to develop a deep learning algorithm for computer-aided diagnosis...
Diagnosis, Differential Male Nose Neoplasms Adult Nasal Polyps Diagnosis, Computer-Assisted Papilloma, Inverted Deep Learning Humans Middle Aged Nasal Cavity Endoscopy
View on PubMed DOI
Popular Topics
Recent Journals