PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 19, 2021SHILAP Revista de lepidopterología198 citationsOpen Access

A deep learning approach for dental implant planning in cone-beam computed tomography images

View Full Paper
SKSevda Kurt‐BayrakdarKOKaan OrhanİBİbrahim Şevki Bayrakdar

Key Points

Key points are not available for this paper at this time.

Abstract

Development of AI systems and their using in future for implant planning will both facilitate the work of physicians and will be a support mechanism in implantology practice to physicians.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kurt‐Bayrakdar et al. (2021) studied this question.

synapsesocial.com/papers/69db063a498b35d3e6a3c23bhttps://doi.org/10.1186/s12880-021-00618-z
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Re-epithelialization and immune cell behaviour in an ex vivo human skin model2020 · 8,298 citations
  2. 2Current trends in dental implants2014 · 410 citations
  3. 3Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography2018 · 111 citations
  4. 4Accuracy of linear measurements using dental cone beam and conventional multislice computed tomography2008 · 282 citations
  5. 5Occurrence of the potent mutagens 2- nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles2019 · 8,533 citations