Improving the accuracy of cervical maturation classification using a multi-stage deep learning approach

Authors

Mohammad Behnaz (ORCID: https://orcid.org/0000-0002-2763-3292)
Negar Razzaghi (ORCID: https://orcid.org/0000-0001-6935-1771)
Saeed Reza Motamedian (ORCID: https://orcid.org/0000-0001-7337-2145)
Sahel Hassanzadeh-Samani (ORCID: https://orcid.org/0000-0001-8448-5831)
Hossein Mohammad‐Rahimi (ORCID: https://orcid.org/0000-0002-4971-5926)
Shahriar Shahab (ORCID: https://orcid.org/0000-0002-0355-3626)
Parisa Motie (ORCID: https://orcid.org/0000-0001-5598-3575)
Ali Ashkan

Institutions

Hamedan University of Medical Sciences (IR)
Isfahan University of Medical Sciences (IR)
Shahed University (IR)
Aarhus University (DK)
Islamic Azad University Dental Branch of Tehran (IR)
University of Isfahan (IR)
Shahid Beheshti University (IR)
Shahid Beheshti University of Medical Sciences (IR)

Publication Details

Journal: Imaging Science in Dentistry
Published: 2025-01-01
DOI: https://doi.org/10.5624/isd.20250045
Primary Topic: AI in cancer detection
Type: article
Field-Weighted Citation Impact: 0.00

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article

Improving the accuracy of cervical maturation classification using a multi-stage deep learning approach

Mohammad Behnaz, Negar Razzaghi, Saeed Reza Motamedian, Sahel Hassanzadeh-Samani et al.

Jan 1, 2025

Imaging Science in Dentistry

AI in cancer detection

article

Improving the accuracy of cervical maturation classification using a multi-stage deep learning approach

Mohammad Behnaz, Negar Razzaghi, Saeed Reza Motamedian, Sahel Hassanzadeh-Samani, Hossein Mohammad‐Rahimi, Shahriar Shahab, Parisa Motie, Ali Ashkan

January 1, 2025article en

Abstract

No abstract available for this paper.

Imaging Science in DentistryVol. 55(3)

Hamedan University of Medical Sciences (IR), Isfahan University of Medical Sciences (IR), Shahed University (IR), Aarhus University (DK), Islamic Azad University Dental Branch of Tehran (IR), University of Isfahan (IR), Shahid Beheshti University (IR), Shahid Beheshti University of Medical Sciences (IR)

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AI in cancer detection

DOI Open Access PDF OpenAlex

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