OtoXNet—automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images
Author:
Funder
National Institute on Deafness and Other Communication Disorders
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07107-6.pdf
Reference51 articles.
1. Alenezi, EMA, Kathryn J, Allison R, Alessandra L-S, McMahen CSE, Tao KFM, Julie M, Tess B, Richmond PC, Eikelboom RH (2021) Clinician-rated quality of video otoscopy recordings and still images for the asynchronous assessment of middle-ear disease. J Telemed Telec 1357633X20987783
2. Bay H, Tinne T, Luc VG (2006) Surf: speeded up robust features. In: European conference on computer vision. Springer, pp 404–417
3. Binol H, Plotner A, Sopkovich J, Kaffenberger B, Niazi MKK, Gurcan MN (2020) Ros-NET: a deep convolutional neural network for automatic identification of rosacea lesions. Skin Res Technol 26:413–421
4. Binol, H, Moberly AC, Niazi MKK, Garth E, Jay S, Charles E, Theodoros T, Nazhat T-S, Lianbo Y, Gurcan MN (2020) Decision fusion on image analysis and tympanometry to detect eardrum abnormalities. In: Medical imaging 2020: computer-aided diagnosis, 113141M. International Society for Optics and Photonics
5. Binol H, Moberly AC, Niazi MKK, Essig G, Shah J, Elmaraghy C, Teknos T, Taj-Schaal N, Lianbo Yu, Gurcan MN (2020) SelectStitch: automated frame segmentation and stitching to create composite images from otoscope video clips. Appl Sci 10:5894
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