Radiographic imaging and diagnosis of spinal bone tumors: AlexNet and ResNet for the classification of tumor malignancy

Objective: This study aims to explore the application of radiographic imaging and image recognition algorithms, particularly AlexNet and ResNet, in classifying malignancies for spinal bone tumors. Methods: We selected a cohort of 580 patients diagnosed with primary spinal osseous tumors who underwen...

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Detalhes bibliográficos

Principais autores:	Chengquan Guo, Yan Chen, Jianjun Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-10-01
coleção:	Journal of Bone Oncology
Assuntos:	Spinal bone tumors Radiographic imaging AlexNet ResNet Convolutional neural networks Deep learning image classification
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S221213742400109X
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