Skip to content
  • Our Work
    • Fields
      • Cardiology
      • ENT
      • Gastro
      • Orthopedics
      • Ophthalmology
      • Pulmonology
      • Surgical
      • Urology
      • Other
    • Modalities
      • Endoscopy
      • Medical Segmentation
      • Microscopy
      • Ultrasound
  • Success Stories
  • Insights
    • Magazine
    • Upcoming Events
    • Webinars
    • Meetups
    • News
    • Blog
  • The company
    • About us
    • Careers
Menu
  • Our Work
    • Fields
      • Cardiology
      • ENT
      • Gastro
      • Orthopedics
      • Ophthalmology
      • Pulmonology
      • Surgical
      • Urology
      • Other
    • Modalities
      • Endoscopy
      • Medical Segmentation
      • Microscopy
      • Ultrasound
  • Success Stories
  • Insights
    • Magazine
    • Upcoming Events
    • Webinars
    • Meetups
    • News
    • Blog
  • The company
    • About us
    • Careers
Contact

Dental Segmentation with Deep Learning

Dental problems affect people of all ages and ethnic groups, and are common worldwide. With many patients suffering from tooth decay, orthodontic issues and even oral cancer, the need of oral surgeries and other treatments increases constantly. Recent advancements in technology allow safer and more accurate procedures, including better preoperative planning aided by 3D segmentation of the teeth and other dental structures.

Dental segmentation

3D segmentation of intraoral scanners (IOS) computed tomography (CT) dental scans, or cone beam computed tomography (CBCT), which became a useful replacement for regular CT in dental imaging, could be used when planning dental surgeries, such as prosthodontics surgeries including dental implants, root canals treatments, orthodontic treatments, maxillofacial surgeries and even dental biometrics. For instance, automated segmentation could be handy when planning dental implant surgery by allowing the surgeons to better review and inspect the maxilla and its bone quality, which is essential for implant stability. Individual tooth segmentation helps with orthodontic treatment planning and teeth alignment.

Although it is a promising development, automated dental segmentation may turn out to be quite difficult. For example, segmentation of each individual tooth is tricky due to complex teeth arrangements, variation in shape and similarity to adjacent structures such as the tooth socket. The maxilla is also a difficult structure to segment, because of its complex thin bony components including the palate, maxillary sinuses and parts of the orbit walls. The challenge to the segmentation algorithm consists in finding the exact classification in abnormal teeth structures like overlapping teeth and abnormal growth directions.

Automated Dental Segmentation

RSIP Vision’s engineers developed a module for automatic segmentation of the dental structure. It is based on deep learning neural networks and advanced mathematical algorithms from graph theory.

Using those computer vision and artificial intelligence methods, we created a fully automatic and accurate anatomical model of teeth, gums and jaws. Dental professionals use to get an accurate dental and maxillary map in view of specific diagnosis and treatment.

Share

Share on linkedin
Share on twitter
Share on facebook

Main Field

Dental

View Dental

Categories

  • Dental, RSIP Vision Learns

Related Content

Show all

RSIP Vision

Field-tested software solutions and custom R&D, to power your next medical products with innovative AI and image analysis capabilities.

Read more about us

Get in touch

Please fill the following form and our experts will be happy to reply to you soon

Recent News

IBD Scoring – Clario, GI Reviewers and RSIP Vision Team Up

RSIP Neph Announces a Revolutionary Intra-op Solution for Partial Nephrectomy Surgeries

Announcement – RSIP Vision Presents Successful Preliminary Results from Clinical Study of 2D-to-3D Knee Bones Reconstruction

Announcement – New Urological AI Tool for 3D Reconstruction of the Ureter

All news
Upcoming Events
Stay informed for our next events
Subscribe to Our Magazines

Subscribe now and receive the Computer Vision News Magazine every month to your mailbox

 
Subscribe for free
Follow us
Linkedin Twitter Facebook Youtube

contact@rsipvision.com

Terms of Use

Privacy Policy

© All rights reserved to RSIP Vision 2023

Created by Shmulik

  • Our Work
    • title-1
      • Ophthalmology
      • Uncategorized
      • Ophthalmology
      • Pulmonology
      • Cardiology
      • Orthopedics
    • Title-2
      • Orthopedics
  • Success Stories
  • Insights
  • The company