Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Cochlea01:13

The Cochlea

50.0K
The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
50.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Patient-reported outcomes after facial skin cancer surgery: A prospective multicentre cohort study.

Journal of the European Academy of Dermatology and Venereology : JEADV·2026
Same author

UNICORN: a deep learning model for integrating multi-stain data in histopathology.

NPJ digital medicine·2026
Same author

Bilateral Dynamic CT for Scapholunate Instability: Toward Personalized, Protocol-Standardized Kinematic Diagnosis.

Plastic and reconstructive surgery·2026
Same author

SAMIRA study on criteria for acceptability of medical radiological equipment (CARE). Survey results on European Union national legislations/regulations.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026
Same author

Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiography.

The international journal of cardiovascular imaging·2026
Same author

Finding the optimal recall rate in breast cancer screening: results from the ROCS study.

European radiology·2026

Related Experiment Video

Updated: Dec 27, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K

Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical

Floris Heutink1, Valentin Koch2, Berit Verbist3

  • 1Department of Otorhinolaryngology and Donders Institute for Brain, Cognition and Behavior, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.

Computer Methods and Programs in Biomedicine
|February 29, 2020
PubMed
Summary

This study presents an automated deep learning method for segmenting and measuring the human cochlea from CT scans. The accurate measurements can aid in personalized cochlear implant surgery planning.

Keywords:
CochleaConvolutional neural networksDeep learningImage segmentationUltra-high-resolution CT

More Related Videos

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.3K
Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

742

Related Experiment Videos

Last Updated: Dec 27, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.3K
Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

742

Area of Science:

  • Medical Imaging
  • Deep Learning
  • Anatomy

Background:

  • Patient-specific pre-operative cochlea measurements can improve cochlear surgery outcomes.
  • Reducing intracochlear trauma and preserving residual hearing are key surgical goals.

Purpose of the Study:

  • To develop an automated method for segmenting and measuring the human cochlea in ultra-high-resolution (UHR) CT images.
  • To investigate cochlea size variations for personalized cochlear implant planning.

Main Methods:

  • A deep learning system was developed and validated on 123 temporal bone CT scans.
  • The system uses a cascade of detection and pixel-wise classification (U-Net-like architecture) for segmentation.
  • Convolutional neural networks and thinning algorithms provide automatic measurements of cochlear volume, basal diameter, and cochlear duct length (CDL).

Main Results:

  • The automated segmentation achieved high accuracy (Dice: 0.90, BF score: 0.95).
  • Measurement errors were 8.4% for volume, 5.5% for CDL, and 7.8% for basal diameter.
  • Significant variations in cochlea size were observed across the patient cohort.

Conclusions:

  • The developed algorithm accurately segments and measures cochlear anatomy on UHR-CT images.
  • The findings support the use of this method as a pre-operative tool for personalized cochlear implant strategies.