Automatic liver tumor segmentation on dynamic contrast enhanced MRI using 4D information: deep learning model based on 3D convolution and convolutional LSTM
Objective: Accurate segmentation of liver tumors, which could help physicians make
appropriate treatment decisions and assess the effectiveness of surgical treatment, is crucial …
appropriate treatment decisions and assess the effectiveness of surgical treatment, is crucial …
Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional …
R Zheng, Q Wang, S Lv, C Li… - IEEE transactions …, 2022 - pubmed.ncbi.nlm.nih.gov
Objective Accurate segmentation of liver tumors, which could help physicians make
appropriate treatment decisions and assess the effectiveness of surgical treatment, is crucial …
appropriate treatment decisions and assess the effectiveness of surgical treatment, is crucial …
[PDF][PDF] Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and …
R Zheng, Q Wang, S Lv, C Li, C Wang… - IEEE …, 2022 - researchgate.net
Objective: Accurate segmentation of liver tumors, which could help physicians make
appropriate treatment decisions and assess the effectiveness of surgical treatment, is crucial …
appropriate treatment decisions and assess the effectiveness of surgical treatment, is crucial …