AI diagnostics in bone oncology for predicting bone metastasis in lung cancer patients using DenseNet-264 deep learning model and radiomics

• Published in: Journal of bone oncology Vol. 48; p. 100640
• Main Authors: Zeng, Taisheng, Chen, Yusi, Zhu, Daxin, Huang, Yifeng, Huang, Ying, Chen, Yijie, Shi, Jianshe, Ding, Bijiao, Huang, Jianlong
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier GmbH 01.10.2024; Elsevier
• Subjects: Bone Metastasis; Cancer; Deep Learning Diagnosis; DenseNet-264; Radiomics; VSI: MI Orthopedics; Bone Metastasis; DenseNet-264; Deep Learning Diagnosis; Radiomics; Cancer

•DenseNet-264 predicts bone metastasis in lung cancer patients.•DenseNet-264 outperforms traditional radiomics models with better AUC on training and validation sets.•Predictive model facilitates early intervention and personalized treatment.•Clinical utility of deep learning for detecting bone meta...