… The aim of this review was to evaluate the performance of AI-based computer vision
algorithms to classify ear disease from otoscopy. Our objectives were to synthesise existing …

… are used to classify the ear images. Four major middle ear diseases which can be cured if
detected early is the main focus of this work. The images are mainly classified as four groups, …

… Although the models developed for this study evaluated normal versus abnormal
classifications, it is plausible that differences in the ear disease definitions and potential …

… classify middle ear diseases was presented in [26], which included specific information for
diseases … In our work, we considered three classification algorithms: support vector machine, k-…

… learning algorithm for prediction of age-related eye disease … this automated diagnosis
image classification system can … this classification system covers most of ear disease domains …

… to certain disease … algorithms that are very attractive in classification tasks In this paper,
we discuss the use of these two methods to achieve the classification of the most common ear …

… CNN algorithm is the new version of the CNN algorithm which … There are eight types of ear
disease found in this research. … of these algorithm and can classify the types of ear disease as …

… model that can detect and classify middle ear diseases. The use of smartphone-… classification
can provide real-world smart medical solutions for the diagnosis of middle ear diseases …

… HRCT of the temporal bone using a bone algorithm with 0.5- to 1-mm-thick slices is suitable
… in the differential diagnostic of hereditary diseases (including ear malformations). Molecular …

… a prevalent disease in both children and adults. Our system is able to differentiate normal ear
… We ran our segmentation, feature extraction, feature selection and classification algorithm …