Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study

S Liu, W Sun, S Yang, L Duan, C Huang, J Xu… - European …, 2022 - Springer
Objectives To evaluate the performance of a deep learning radiomic nomogram (DLRN)
model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent …
被引用次数：29 相关文章

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study

S Liu, W Sun, S Yang, L Duan, C Huang… - European …, 2022 - pubmed.ncbi.nlm.nih.gov
Objectives To evaluate the performance of a deep learning radiomic nomogram (DLRN)
model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent …

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study

S Liu, S Weikai, S Yang, D Lisha… - European …, 2022 - search.proquest.com
Objectives To evaluate the performance of a deep learning radiomic nomogram (DLRN)
model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent …

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma. A multi-institutional study

S Liu, W Sun, D Hao, H Wang, S Yang… - European Radiology …, 2022 - inis.iaea.org
[en] To evaluate the performance of a deep learning radiomic nomogram (DLRN) model at
predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent surgical …

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study.

S Liu, W Sun, S Yang, L Duan, C Huang… - European …, 2022 - search.ebscohost.com
Objectives: To evaluate the performance of a deep learning radiomic nomogram (DLRN)
model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent …

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study.

S Liu, W Sun, S Yang, L Duan, C Huang, J Xu… - European …, 2021 - europepmc.org
Objectives To evaluate the performance of a deep learning radiomic nomogram (DLRN)
model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent …