Pelvic bone tumor segmentation fusion algorithm based on fully convolutional neural network and conditional random field
Background and objective: Pelvic bone tumors represent a harmful orthopedic condition, encompassing both benign and malignant forms. Addressing the issue of limited accuracy in current machine learning algorithms for bone tumor image segmentation, we have developed an enhanced bone tumor image segme...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-04-01
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Series: | Journal of Bone Oncology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2212137424000733 |