Automatic CT liver Couinaud segmentation based on key bifurcation detection with attentive residual hourglass-based cascaded network
M Wang, R Jin, J Lu, E Song, G Ma - Computers in Biology and Medicine, 2022 - Elsevier
This paper presents an automatic Couinaud segmentation method based on deep learning
of key point detection. Assuming that the liver mask has been extracted, the proposed …
of key point detection. Assuming that the liver mask has been extracted, the proposed …
Automated segmentation of liver segment on portal venous phase MR images using a 3D convolutional neural network
X Han, X Wu, S Wang, L Xu, H Xu, D Zheng, N Yu… - Insights Into …, 2022 - Springer
Objective We aim to develop and validate a three-dimensional convolutional neural network
(3D-CNN) model for automatic liver segment segmentation on MRI images. Methods This …
(3D-CNN) model for automatic liver segment segmentation on MRI images. Methods This …
Fully-automated functional region annotation of liver via a 2.5 D class-aware deep neural network with spatial adaptation
Abstract Background and Objective Automatic functional region annotation of liver should be
very useful for preoperative planning of liver resection in the clinical domain. However, many …
very useful for preoperative planning of liver resection in the clinical domain. However, many …
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy
Y Tian, W Qin, F Xue, R Lambo, M Yue… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Anatomical resection (AR) based on anatomical sub-regions is a promising method of
precise surgical resection, which has been proven to improve long-term survival by reducing …
precise surgical resection, which has been proven to improve long-term survival by reducing …
Class center attention network with spatial adaption for enhancing hepatic segments classification with low-visibility vascular
Y Tian, P Sun, F Xue, R Lambo, M Yue, C An, S Diao… - Displays, 2022 - Elsevier
Automatic classification of hepatic segments is of great use for liver surgical resection
planning. However, conventional computer-aided annotation methods have difficulty …
planning. However, conventional computer-aided annotation methods have difficulty …