[HTML][HTML] Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours
Y Du, Y Xiao, W Guo, J Yao, T Lan, S Li, H Wen… - BioMedical Engineering …, 2024 - Springer
The timely identification and management of ovarian cancer are critical determinants of
patient prognosis. In this study, we developed and validated a deep learning radiomics …
patient prognosis. In this study, we developed and validated a deep learning radiomics …
[HTML][HTML] Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours
Y Du, Y Xiao, W Guo, J Yao… - BioMedical …, 2024 - biomedical-engineering-online …
The timely identification and management of ovarian cancer are critical determinants of
patient prognosis. In this study, we developed and validated a deep learning radiomics …
patient prognosis. In this study, we developed and validated a deep learning radiomics …
[HTML][HTML] Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours
Y Du, Y Xiao, W Guo, J Yao, T Lan, S Li… - BioMedical …, 2024 - ncbi.nlm.nih.gov
Background The timely identification and management of ovarian cancer are critical
determinants of patient prognosis. In this study, we developed and validated a deep learning …
determinants of patient prognosis. In this study, we developed and validated a deep learning …
Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours
Y Du, Y Xiao, W Guo, J Yao, T Lan, S Li… - Biomedical …, 2024 - europepmc.org
Background The timely identification and management of ovarian cancer are critical
determinants of patient prognosis. In this study, we developed and validated a deep learning …
determinants of patient prognosis. In this study, we developed and validated a deep learning …
Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours.
Y Du, Y Xiao, W Guo, J Yao, T Lan… - BioMedical …, 2024 - search.ebscohost.com
Background: The timely identification and management of ovarian cancer are critical
determinants of patient prognosis. In this study, we developed and validated a deep learning …
determinants of patient prognosis. In this study, we developed and validated a deep learning …
Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours
Y Du, Y Xiao, W Guo, J Yao, T Lan… - Biomedical …, 2024 - pubmed.ncbi.nlm.nih.gov
Background The timely identification and management of ovarian cancer are critical
determinants of patient prognosis. In this study, we developed and validated a deep learning …
determinants of patient prognosis. In this study, we developed and validated a deep learning …
[PDF][PDF] Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours
Y Du, Y Xiao, W Guo, J Yao, T Lan, S Li, H Wen… - 2024 - biomedical-engineering-online …
Background: The timely identification and management of ovarian cancer are critical
determinants of patient prognosis. In this study, we developed and validated a deep learning …
determinants of patient prognosis. In this study, we developed and validated a deep learning …
Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours.
Y Du, Y Xiao, W Guo, J Yao, T Lan, S Li… - Biomedical …, 2024 - europepmc.org
Background The timely identification and management of ovarian cancer are critical
determinants of patient prognosis. In this study, we developed and validated a deep learning …
determinants of patient prognosis. In this study, we developed and validated a deep learning …