Dental radiography offers significant indication for medical/clinical diagnosis, quality
assessment and treatment. Huge efforts have been taken while developing the digital dental …

Otitis media (OM), known as inflammation of the middle ear, is a condition especially seen in
children. To carry out a definitive diagnosis of the discomfort that manifests itself with various …

Objective: To study the feasibility of fully automatic segmentation of labyrinth, facial nerve
and ossicles in clinical routine temporal bone CT images based on 3D U-net neural network …

Abstract Objective Convolutional neural networks (CNNs) have revolutionized medical
image segmentation in recent years. This scoping review aimed to carry out a …

Otitis media with effusion (OME) is fluid accumulation in the middle ear without signs of
systemic infection. OME can cause hearing loss, ear fullness, speech retardation, and a …

Objectives Artificial intelligence (AI) techniques like convolutional neural network (CNN) are
a promising breakthrough that can help clinicians analyze medical imaging, diagnose …

Developing countries still to this day suffer from misdiagnosis of otitis media infections.
Various studies to solve this issue with various success rates. This study explores a different …

In this paper, we present a novel image representation approach for paranasal sinus
segmentation in computed tomography (CT) images of the brain. Our proposed method is …

This study aims to develop an algorithm for the automatic segmentation of the parotid gland
on CT images of the head and neck using U-Net architecture and to evaluate the model's …

Introduction: Chronic Suppurative Otitis Media (CSOM) and Middle Ear Cholesteatoma are
two common chronic otitis media diseases that often cause confusion among physicians due …