AIMC Topic: Ear, Inner

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A non-invasive, automated diagnosis of Menière's disease using radiomics and machine learning on conventional magnetic resonance imaging: A multicentric, case-controlled feasibility study.

La Radiologia medica Nov 25, 2021
PURPOSE: This study investigated the feasibility of a new image analysis technique (radiomics) on conventional MRI for the computer-aided diagnosis of Menière's disease.
Ear, Inner Meniere Disease Feasibility Studies Image Interpretation, Computer-Assisted Adult Male Middle Aged Case-Control Studies Adolescent Magnetic Resonance Imaging Aged Aged, 80 and over Young Adult Retrospective Studies Female Humans Machine Learning
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Automatic segmentation of inner ear on CT-scan using auto-context convolutional neural network.

Scientific reports Feb 23, 2021
Temporal bone CT-scan is a prerequisite in most surgical procedures concerning the ear such as cochlear implants. The 3D vision of inner ear structures is crucial for diagnostic and surgical preplanning purposes. Since clinical CT-scans are acquired ...
Tomography, X-Ray Computed Ear, Inner Temporal Bone Humans Neural Networks, Computer
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Deep learning for the fully automated segmentation of the inner ear on MRI.

Scientific reports Feb 3, 2021
Segmentation of anatomical structures is valuable in a variety of tasks, including 3D visualization, surgical planning, and quantitative image analysis. Manual segmentation is time-consuming and deals with intra and inter-observer variability. To dev...
Humans Female Aged Magnetic Resonance Imaging Feasibility Studies Middle Aged Ear, Inner Adult Datasets as Topic Deep Learning Male Imaging, Three-Dimensional
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Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques.

International journal of computer assisted radiology and surgery Sep 22, 2020
PURPOSE: Artificial intelligence (AI) in medical imaging is a burgeoning topic that involves the interpretation of complex image structures. The recent advancements in deep learning techniques increase the computational powers to extract vital featur...
Vestibular Nerve Facial Nerve Ear, Inner Humans Child Neural Networks, Computer Magnetic Resonance Imaging Artificial Intelligence Cochlear Nerve Adult Deep Learning
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HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs.

Medical image analysis Jan 28, 2020
Cochlear implants (CIs) are used to treat subjects with hearing loss. In a CI surgery, an electrode array is inserted into the cochlea to stimulate auditory nerves. After surgery, CIs need to be programmed. Studies have shown that the cochlea-electro...
Ear, Inner Anatomic Landmarks Cochlear Implantation Humans Tomography, X-Ray Computed Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted
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Risk evaluation and incidence prediction of endolymphatic hydrops using multilayer perceptron in patients with audiovestibular symptoms.

Medicine Mar 14, 2025
Endolymphatic hydrops (EH) has been visualized on magnetic resonance imaging (MRI) in patients with various inner ear diseases. The purpose of this study was to evaluate the prevalence and risk factors of significant EH on inner ear MRI in patients w...
Risk Assessment Prevalence Adolescent Neural Networks, Computer Adult Retrospective Studies Male Female Middle Aged Ear, Inner Incidence Risk Factors Humans Endolymphatic Hydrops Magnetic Resonance Imaging Aged Sex Factors Multilayer Perceptrons Young Adult
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[Deep transfer learning radiomics model based on temporal bone CT for assisting in the diagnosis of inner ear malformations].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery Jun 1, 2024
To evaluate the diagnostic efficacy of traditional radiomics, deep learning, and deep learning radiomics in differentiating normal and inner ear malformations on temporal bone computed tomography（CT）. A total of 572 temporal bone CT data were retrosp...
Humans Sensitivity and Specificity Radiomics Male Retrospective Studies Tomography, X-Ray Computed Female Ear, Inner Temporal Bone Deep Learning ROC Curve
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A simple standard technique for labyrinthectomy in the rat: A methodical communication with a detailed description of the surgical process.

Physiology international Sep 1, 2016
Aims Labyrinthectomized rats are suitable models to test consequences of vestibular lesion and are widely used to study neural plasticity. We describe a combined microsurgical-chemical technique that can be routinely performed with minimum damage. Me...
Otologic Surgical Procedures Rats, Sprague-Dawley Animals Reference Standards Rats Ear, Inner
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