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A fusion of VGG-16 and ViT models for improving bone tumor classification in computed tomography
29
Zitationen
10
Autoren
2023
Jahr
Abstract
Our novel VGG-16 and Vision Transformer joint network exhibits robust classification performance on bone tumor datasets. The integration of these models enables precise and efficient classification, accommodating the diverse characteristics of different bone tumor types. This advancement holds great significance for the early detection and prognosis of bone tumor patients in the future.
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