Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images
Accurate airway segmentation from computed tomography (CT) images is critical for
planning navigation bronchoscopy and realizing a quantitative assessment of airway-related …
planning navigation bronchoscopy and realizing a quantitative assessment of airway-related …
Towards unifying anatomy segmentation: automated generation of a full-body CT dataset via knowledge aggregation and anatomical guidelines
In this study, we present a method for generating automated anatomy segmentation datasets
using a sequential process that involves nnU-Net-based pseudo-labeling and anatomy …
using a sequential process that involves nnU-Net-based pseudo-labeling and anatomy …
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
The morphology and distribution of airway tree abnormalities enable diagnosis and disease
characterisation across a variety of chronic respiratory conditions. In this regard, airway …
characterisation across a variety of chronic respiratory conditions. In this regard, airway …
Accurate airway tree segmentation in ct scans via anatomy-aware multi-class segmentation and topology-guided iterative learning
Intrathoracic airway segmentation in computed tomography is a prerequisite for various
respiratory disease analyses such as chronic obstructive pulmonary disease, asthma and …
respiratory disease analyses such as chronic obstructive pulmonary disease, asthma and …
An end-to-end multi-scale airway segmentation framework based on pulmonary CT image
Objective. Automatic and accurate airway segmentation is necessary for lung disease
diagnosis. The complex tree-like structures leads to gaps in the different generations of the …
diagnosis. The complex tree-like structures leads to gaps in the different generations of the …
A Novel Robotic Bronchoscope with a Spring-Based Extensible Segment for Improving Steering Ability
Bronchoscopy, as an essential minimally invasive diagnostic and therapeutic modality,
assumes a pivotal role in the early detection of lung cancer. However, the complex anatomy …
assumes a pivotal role in the early detection of lung cancer. However, the complex anatomy …
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset
In this paper, we present a method for generating automated anatomy segmentation
datasets using a sequential process that involves nnU-Net-based pseudo-labeling and …
datasets using a sequential process that involves nnU-Net-based pseudo-labeling and …
A data-centric deep learning approach to airway segmentation
The morphology and distribution of airway tree abnormalities enables diagnosis and
disease characterisation across a variety of chronic respiratory conditions. In this regard …
disease characterisation across a variety of chronic respiratory conditions. In this regard …
A Geometric Algorithm for Tubular Shape Reconstruction from Skeletal Representation
G Zhang, S Cat, J Cat - arxiv preprint arxiv:2402.12797, 2024 - arxiv.org
We introduce a novel approach for the reconstruction of tubular shapes from skeletal
representations. Our method processes all skeletal points as a whole, eliminating the need …
representations. Our method processes all skeletal points as a whole, eliminating the need …
A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation
G Zhang, Y Li - International Symposium on Bioinformatics Research …, 2024 - Springer
We introduce a novel approach for blood vessel reconstruction from skeletal
representations. Our method processes all skeletal points as a whole, eliminating the need …
representations. Our method processes all skeletal points as a whole, eliminating the need …