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Performance Of Machine Learning Implementation In Cone Beam Computed Tomography Of Oral And Maxillofacial Area by Mahsa Asadi Anar
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1Performance Of Machine Learning Implementation In Cone Beam Computed Tomography Of Oral And Maxillofacial Area
By Mahsa Asadi Anar, Sahar Akbari, Mohsen heidari, Sina naderi, Sarina Maddahi and Fateme Mazaheri
Performance of machine learning implementation in cone beam computed tomography of oral and maxillofacial area
“Performance Of Machine Learning Implementation In Cone Beam Computed Tomography Of Oral And Maxillofacial Area” Metadata:
- Title: ➤ Performance Of Machine Learning Implementation In Cone Beam Computed Tomography Of Oral And Maxillofacial Area
- Authors: ➤ Mahsa Asadi AnarSahar AkbariMohsen heidariSina naderiSarina MaddahiFateme Mazaheri
Edition Identifiers:
- Internet Archive ID: osf-registrations-vqcju-v1
Downloads Information:
The book is available for download in "data" format, the size of the file-s is: 0.11 Mbs, the file-s for this book were downloaded 1 times, the file-s went public at Sat Apr 05 2025.
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2Performance Of Machine Learning Implementation In Cone Beam Computed Tomography Of Oral And Maxillofacial Area: A Systematic-review And Meta-analysis
By Mahsa Asadi Anar and Amin Nematian
Regarding the artificial intelligence's performance in segmenting the oral and maxillofacial structures using cone-beam computed tomography (CBCT), several values have been reported. In order to provide an overall estimate to settle the provided disagreements, our goal was to conduct a systematic review and meta-analysis.
“Performance Of Machine Learning Implementation In Cone Beam Computed Tomography Of Oral And Maxillofacial Area: A Systematic-review And Meta-analysis” Metadata:
- Title: ➤ Performance Of Machine Learning Implementation In Cone Beam Computed Tomography Of Oral And Maxillofacial Area: A Systematic-review And Meta-analysis
- Authors: Mahsa Asadi AnarAmin Nematian
Edition Identifiers:
- Internet Archive ID: osf-registrations-2jya6-v1
Downloads Information:
The book is available for download in "data" format, the size of the file-s is: 0.10 Mbs, the file-s for this book were downloaded 2 times, the file-s went public at Sun Jun 02 2024.
Available formats:
Archive BitTorrent - Metadata - ZIP -
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- Whefi.com: Download
- Whefi.com: Review - Coverage
- Internet Archive: Details
- Internet Archive Link: Downloads
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