# More sophisticated dental/cranio-maxillofacial CBCT segmentation methods

**URL:** https://discourse.slicer.org/t/more-sophisticated-dental-cranio-maxillofacial-cbct-segmentation-methods/28621
**Category:** Support
**Tags:** segmentation, dicom, dental
**Created:** [March 28, 2023, 12:09pm UTC](https://discourse.slicer.org/t/more-sophisticated-dental-cranio-maxillofacial-cbct-segmentation-methods/28621 "2023-03-28T12:09:38Z")
**Posts on this page:** 1
**Showing post:** 2

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### Author: ![lassoan](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/lassoan/32/13_2.png) [@lassoan](https://discourse.slicer.org/u/lassoan)
#### Post date: [March 28, 2023, 2:05pm UTC](https://discourse.slicer.org/t/more-sophisticated-dental-cranio-maxillofacial-cbct-segmentation-methods/28621/2 "2023-03-28T14:05:37Z")

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These are all classic methods that have proven to work poorly compared to current deep learning based segmentation methods. I would recommend to join discussions on the forum on using AI for dental/cranio-maxillofacial segmentations - describe who you are and what you would like to achieve. See for example this discussion that was started a few days ago:

> [@Maxilla segmentation - Ai driven?](https://discourse.slicer.org/t/maxilla-segmentation-ai-driven/28556):
>
> Dear 3D Slicer Community, I am writing to you with great admiration and respect for your hard work in creating such an amazing platform. I am a second-year orthodontic resident from Hungary with a strong interest in 3D planning. As a part of my work, I spend a lot of time manually segmenting our CBCTs. Recently, I had the opportunity to try the trial version of Diagnocat’s AI segmentator system, and I was impressed with its efficiency. This experience has sparked my curiosity about AI-driven s…

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