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Deep Learning Techniques for Ear Diseases Based on Segmentation of the Normal Tympanic Membrane
Yong Soon Park, Jun Ho Jeon, Tae Hoon Kong, Tae Yun Chung, Young Joon Seo
Clinical and Experimental Otorhinolaryngology. 2023;16(1):28-36.   Published online 2022 October 31    DOI: https://doi.org/10.21053/ceo.2022.00675

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Deep Learning Techniques for Ear Diseases Based on Segmentation of the Normal Tympanic Membrane
Clinical and Experimental Otorhinolaryngology. 2023;16(1):28-36   Crossref logo
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Normal Tympanic Membrane
Ear, Nose & Throat Journal. 1993;72(1):15-15   Crossref logo
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Diagnosis and Clinico-Radiologic Correlations in Conductive Hearing Loss with a Normal Appearing Tympanic Membrane
Middle Ear Diseases. 2018;415-467   Crossref logo
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Beyond a Tympanic Membrane Perforation: A Superb View of Normal Middle Ear Structures
Ear, Nose & Throat Journal. 2007;86(7):375-375   Crossref logo
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EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images
Artificial Intelligence in Medicine. 2021;115:102065   Crossref logo
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Brain MRI segmentation techniques based on CNN and its variants
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Brain MRI segmentation using deep learning: background study and challenges
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Brain tumor segmentation using deep learning: taxonomy, survey and challenges
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Deep learning-based brain malignant neoplasm classification using MRI image segmentation assisted by bias field correction and histogram equalization
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Multimodal MRI Brain Tumor Segmentation—A ResNet-based U-Net approach
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