Article

Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy

2022-09-09

Abstract excerpt

<title>Abstract</title> <p>Purpose To evaluate the generalizability of artificial intelligence (AI)-otoscopy algorithms to identify middle ear disease using otoscopic images. Methods 1842 otoscopic images were collected from 3 independent sources: a) Van, Turkey, b) Santiago, Chile, and c) Ohio, USA. Diagnostic categories consisted of (i) normal or (ii) abnormal. Deep and transfer learning-based methods were us...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b634c680-9fd7-58a9-82de-3269df594ac8
DOI: 10.21203/rs.3.rs-2014320/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopyDOI 10.21203/rs.3.rs-2014320/v1Read

AI-Based Point-of-Care Diagnosis Using Otoscopy ImagesSemantic proximity Read

Artificial Intelligence in Otitis Media Diagnosis: A Review of Diagnostic Accuracy, Limitations, Clinical Integration and Future DirectionsSemantic proximity Read

OtoXNet - Automated Identification of Eardrum Diseases from Otoscope Videos: A Deep Learning Study for Video-representing ImagesSemantic proximity Read

A deep learning approach to diagnose atelectasis and attic retraction pocket with otoscopic imagesSemantic proximity Read

Artificial Intelligence in Detecting Temporomandibular Joint Osteoarthritis on OrthopantomogramSemantic proximity Read

SelectStitch: Automated Frame Segmentation and Stitching to Create Composite Images from Otoscope Video ClipsSemantic proximity Read

A Cloud-Edge Collaborative Model Training Framework for Assisted Classification of Middle Ear Diseases Based on Ultra-High-Resolution Temporal Bone CT ImagesAbstractSemantic proximity Read

Deep Learning-Based Throat Infection Detection: A Transfer Learning Approach with MobileNet, ResNet and DenseNet with Augmented Medical Image AnalysisSemantic proximity Read

A Cloud-Edge Collaborative Model Training Framework for Assisted Classification of Middle Ear Diseases Based on Ultra-High-Resolution Temporal Bone CT ImagesSemantic proximity Read

AI-based Analysis of Oral Lesions Using Novel Deep Convolutional Neural Networks for Early Detection of Oral CancerSemantic proximity Read

DIAGNOSTIC CHARTING ON PANORAMIC RADIOGRAPHY USING DEEP- LEARNING ARTIFICIAL INTELLIGENCE SYSTEMSemantic proximity Read

Trends in AI-powered classification of thyroid neoplasms based on histopathology images, a systematic reviewSemantic proximity Read