[HTML][HTML] A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++
J Wang, Y Peng, S Jing, L Han, T Li, J Luo - BMC cancer, 2023 - Springer
Objective Radiomic and deep learning studies based on magnetic resonance imaging (MRI)
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++
J Wang, Y Peng, J Shi, L Han, T Li, J Luo - BMC Cancer, 2023 - search.proquest.com
Objective Radiomic and deep learning studies based on magnetic resonance imaging (MRI)
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
[HTML][HTML] A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++
J Wang, Y Peng, S Jing, L Han, T Li, J Luo - BMC Cancer, 2023 - ncbi.nlm.nih.gov
Objective Radiomic and deep learning studies based on magnetic resonance imaging (MRI)
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
[HTML][HTML] A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++
J Wang, Y Peng, S Jing, L Han, T Li… - BMC …, 2023 - bmccancer.biomedcentral.com
Radiomic and deep learning studies based on magnetic resonance imaging (MRI) of liver
tumor are gradually increasing. Manual segmentation of normal hepatic tissue and tumor …
tumor are gradually increasing. Manual segmentation of normal hepatic tissue and tumor …
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet+
J Wang, Y Peng, S Jing, L Han, T Li, J Luo - BMC cancer, 2023 - pubmed.ncbi.nlm.nih.gov
Objective Radiomic and deep learning studies based on magnetic resonance imaging (MRI)
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++.
J Wang, Y Peng, S Jing, L Han, T Li, J Luo - BMC Cancer, 2023 - search.ebscohost.com
Objective: Radiomic and deep learning studies based on magnetic resonance imaging
(MRI) of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue …
(MRI) of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue …
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++
J Wang, Y Peng, S Jing, L Han, T Li, J Luo - BMC Cancer, 2023 - europepmc.org
Objective Radiomic and deep learning studies based on magnetic resonance imaging (MRI)
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
[PDF][PDF] A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet+
J Wang, Y Peng, S Jing, L Han, T Li, J Luo - 2023 - bmccancer.biomedcentral.com
Objective Radiomic and deep learning studies based on magnetic resonance imaging (MRI)
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet+.
J Wang, Y Peng, S Jing, L Han, T Li, J Luo - BMC Cancer, 2023 - europepmc.org
Objective Radiomic and deep learning studies based on magnetic resonance imaging (MRI)
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …
of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and …