Article

A Novel Deep Learning Approach for Cervical Vertebral Maturation Classification

2024-10-21

Abstract excerpt

<title>Abstract</title> <p>Objectives This study aims to automatically determine the cervical vertebral maturation staging (CVM) on lateral cephalometric radiograph images using a customized deep convolutional neural network (DCNN) model and to evaluate the classification performance using a custom DCNN model in detecting CVM stages. Methods A dataset of 922 digital lateral cephalometric radiographs from indivi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 901e66fa-d54c-5532-bad6-96493172ec75
DOI: 10.21203/rs.3.rs-5026586/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Novel Deep Learning Approach for Cervical Vertebral Maturation ClassificationDOI 10.21203/rs.3.rs-5026586/v1Read

A Novel Continuous Classification System for the Cervical Vertebrae Maturation (CVM) Stages Using Convolutional Neural NetworksSemantic proximity Read

Deep Learning–Based Segmentation of Dental Caries in Pediatric Panoramic Radiographs: A Comparative Study of Seven CNN ArchitecturesSemantic proximity Read

Automated Multi-Anatomical Segmentation on Panoramic Radiographs Using a Yolov8x Deep Learning ModelSemantic proximity Read

Fully automatic segmentation of craniomaxillofacial CT scans for computer-assisted orthognathic surgery planning using the nnU-Net frameworkSemantic proximity Read

Generalizability of YOLOv11 Models for Mesiodens Detection in Pediatric Panoramic RadiographsSemantic proximity Read

Automatic Segmentation of Ameloblastoma on CT Images using Deep Learning with Limited DataSemantic proximity Read

Deep Learning Based Evaluation of Surgical Candidacy for Cervical Spinal Cord DecompressionSemantic proximity Read

Convolutional Neural Networks For Apical Lesion Segmentation From Panoramic RadiographsSemantic proximity Read

Multi-pose-based Convolutional Neural Network Model for Diagnosis of Patients with Central Lumbar Spinal StenosisSemantic proximity Read

Deep Learning-Based Segmentation of the Maxillary Sinus on Panoramic Radiographs Using MedSAM and DeepLabv3+Semantic proximity Read

Automated Mandibular Canal Segmentation on CBCT using Deep LearningSemantic proximity Read

Comparative Analysis of Yolov5 and Yolov8 Deep Learning Models in the Detection and Anatomical Classification of Mandibular FracturesSemantic proximity Read