FemurTumorNet: Bone tumor classification in the proximal femur using DenseNet model based on radiographs
Background & purpose: For the best possible outcomes from therapy, proximal femur bone cancers must be accurately classified. This work creates an artificial intelligence (AI) model based on plain radiographs to categorize bone tumor in the proximal femur. Materials and methods: A tertiary r...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Journal of Bone Oncology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2212137423000374 |