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Bone Fracture Detection through Advanced Neural Network Architectures

Detecting bone fractures accurately is essential in radiology, as missed diagnoses can seriously affect patient health. This study introduces a deep learning approach using the InceptionV3 model, designed to identify fractures in high-resolution CT images of bones like the femur, tibia, and radius....

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Principais autores: Venkatesam Anne Sreyas, Irfan Mohd, Kansal Lavish, Kumar Sunil Prashanth, Challapalli Swaroop, Hariharan Shanmugasundaram
Formato: Artigo
Idioma:Inglês
Publicado em: EDP Sciences 2025-01-01
coleção:E3S Web of Conferences
Assuntos:
convolutional neural networks (cnns)
fracture detection
medical imaging
inceptionv3
image augmentation
deep learning
Acesso em linha:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03011.pdf
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