Weimin Chen, Muhammad Ayoub, Mengyun Liao, Ruizheng Shi, Mu Zhang, Feng Su, Zhiguo Huang, Yuanzhe Li, Yi Wang, Kevin K L Wong
BACKGROUND AND OBJECTIVE: Bone tumors present significant challenges in orthopedic medicine due to variations in clinical treatment approaches for different tumor types, which includes benign, malignant, and intermediate cases. Convolutional Neural Networks (CNNs) have emerged as prominent models for tumor classification. However, their limited perception ability hinders the acquisition of global structural information, potentially affecting classification accuracy. To address this limitation, we propose an optimized deep learning algorithm for precise classification of diverse bone tumors...
December 2023: Journal of Bone Oncology