A fusion of VGG-16 and ViT models for improving bone tumor classification in computed tomography

A fusion of VGG-16 and ViT models for improving bone tumor classification in computed tomography

Background and Objective: Bone tumors present significant challenges in orthopedic medicine due to variations in clinical treatment approaches for different tumor types, which includes benign, malignant, and intermediate cases. Convolutional Neural Networks (CNNs) have emerged as prominent models fo...

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Bibliographic Details
Main Authors: Weimin Chen, Muhammad Ayoub, Mengyun Liao, Ruizheng Shi, Mu Zhang, Feng Su, Zhiguo Huang, Yuanzhe Li, Yi Wang, Kevin K.L. Wong
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Bone Oncology
Subjects:
Vision Transformer
VGG-16
ViT
Bone tumors diagnosis
Deep learning
Orthopedics image classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2212137423000416

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http://www.sciencedirect.com/science/article/pii/S2212137423000416

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