Artificial intelligence to classify ear disease from otoscopy: a systematic review and meta‐analysis
AR Habib, M Kajbafzadeh, Z Hasan… - Clinical …, 2022 - Wiley Online Library
Objectives To summarise the accuracy of artificial intelligence (AI) computer vision
algorithms to classify ear disease from otoscopy. Design Systematic review and meta …
algorithms to classify ear disease from otoscopy. Design Systematic review and meta …
Diagnosis, treatment, and management of otitis media with artificial intelligence
X Ding, Y Huang, X Tian, Y Zhao, G Feng, Z Gao - Diagnostics, 2023 - mdpi.com
A common infectious disease, otitis media (OM) has a low rate of early diagnosis, which
significantly increases the difficulty of treating the disease and the likelihood of serious …
significantly increases the difficulty of treating the disease and the likelihood of serious …
Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy
To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep
learning methods to identify middle ear disease from otoscopic images, between internal to …
learning methods to identify middle ear disease from otoscopic images, between internal to …
Novelty Detection of Leukocyte Image via Mean-Shifted Feature and Directly Optimized Subspace
Novelty detection of leukocyte images aims to learn effective data description from in-
distribution leukocyte samples and detect out-of-distribution ones that deviate from the …
distribution leukocyte samples and detect out-of-distribution ones that deviate from the …
Explainable Anomaly Detection in Surveillance Videos: Autoencoder-based Reconstruction and Error Map Visualization
ARG Littek - 2024 - diva-portal.org
The ever-increasing volume of surveillance video data creates a challenge for security
applications, rendering manual monitoring impractical. Existing automatic anomaly detection …
applications, rendering manual monitoring impractical. Existing automatic anomaly detection …
Explainable Anomaly Detection in Surveillance Videos: Autoencoder-based Reconstruction and Error Map Visualization
LAR Giulia - 臺灣師範大學資訊工程學系學位論文, 2024 - airitilibrary.com
The ever-increasing volume of surveillance video data creates a challenge for security
applications, rendering manual monitoring impractical. Existing automatic anomaly detection …
applications, rendering manual monitoring impractical. Existing automatic anomaly detection …