AIMC Topic: Ameloblastoma
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CrossViT with ECAP: Enhanced deep learning for jaw lesion classification.
International journal of medical informatics
Oct 28, 2024
BACKGROUND: Radiolucent jaw lesions like ameloblastoma (AM), dentigerous cyst (DC), odontogenic keratocyst (OKC), and radicular cyst (RC) often share similar characteristics, making diagnosis challenging. In 2021, CrossViT, a novel deep learning appr...
Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: A systematic review.
Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
May 28, 2024
BACKGROUND: The purpose of this systematic review (SR) is to gather evidence on the use of machine learning (ML) models in the diagnosis of intraosseous lesions in gnathic bones and to analyze the reliability, impact, and usefulness of such models. T...
New perspectives in the differential diagnosis of jaw lesions: Machine learning and inflammatory biomarkers.
Journal of stomatology, oral and maxillofacial surgery
May 7, 2024
This study aimed to assess the diagnostic performance of a machine learning approach that utilized radiomic features extracted from Cone Beam Computer Tomography (CBCT) images and inflammatory biomarkers for distinguishing between Dentigerous Cysts (...
Diagnostic capability of artificial intelligence tools for detecting and classifying odontogenic cysts and tumors: a systematic review and meta-analysis.
Oral surgery, oral medicine, oral pathology and oral radiology
Mar 19, 2024
OBJECTIVE: To evaluate the diagnostic capability of artificial intelligence (AI) for detecting and classifying odontogenic cysts and tumors, with special emphasis on odontogenic keratocyst (OKC) and ameloblastoma.
Automatic segmentation of ameloblastoma on ct images using deep learning with limited data.
BMC oral health
Jan 9, 2024
BACKGROUND: Ameloblastoma, a common benign tumor found in the jaw bone, necessitates accurate localization and segmentation for effective diagnosis and treatment. However, the traditional manual segmentation method is plagued with inefficiencies and ...
Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas.
Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Sep 15, 2023
BACKGROUND: Odontogenic tumors (OT) are composed of heterogeneous lesions, which can be benign or malignant, with different behavior and histology. Within this classification, ameloblastoma and ameloblastic carcinoma (AC) represent a diagnostic chall...
Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs.
International journal of computer assisted radiology and surgery
Feb 6, 2021
PURPOSE: The differentiation of the ameloblastoma and odontogenic keratocyst directly affects the formulation of surgical plans, while the results of differential diagnosis by imaging alone are not satisfactory. This paper aimed to propose an algorit...
Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique.
Oral surgery, oral medicine, oral pathology and oral radiology
Jun 6, 2019
OBJECTIVE: The aim of this study was to investigate whether a deep learning object detection technique can automatically detect and classify radiolucent lesions in the mandible on panoramic radiographs.
CBCT radiomics features combine machine learning to diagnose cystic lesions in the jaw.
Dento maxillo facial radiology
Jul 1, 2025
OBJECTIVE: The aim of this study was to develop a radiomics model based on cone beam CT (CBCT) to differentiate odontogenic cysts (OCs), odontogenic keratocysts (OKCs), and ameloblastomas (ABs).
Application of machine learning in the preoperative radiomic diagnosis of ameloblastoma and odontogenic keratocyst based on cone-beam CT.
Dento maxillo facial radiology
Jun 28, 2024
OBJECTIVES: Preoperative diagnosis of oral ameloblastoma (AME) and odontogenic keratocyst (OKC) has been a challenge in dentistry. This study uses radiomics approaches and machine learning (ML) algorithms to characterize cone-beam CT (CBCT) image fea...
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