[HTML][HTML] Human treelike tubular structure segmentation: A comprehensive review and future perspectives
Various structures in human physiology follow a treelike morphology, which often expresses
complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal …
complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal …
A survey on artificial intelligence in pulmonary imaging
Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …
vision and image recognition creating widespread opportunities of using artificial …
Semi-supervised segmentation of radiation-induced pulmonary fibrosis from lung CT scans with multi-scale guided dense attention
G Wang, S Zhai, G Lasio, B Zhang, B Yi… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Computed Tomography (CT) plays an important role in monitoring radiation-induced
Pulmonary Fibrosis (PF), where accurate segmentation of the PF lesions is highly desired for …
Pulmonary Fibrosis (PF), where accurate segmentation of the PF lesions is highly desired for …
Multi-site, multi-domain airway tree modeling
Open international challenges are becoming the de facto standard for assessing computer
vision and image analysis algorithms. In recent years, new methods have extended the …
vision and image analysis algorithms. In recent years, new methods have extended the …
Fuzzy attention neural network to tackle discontinuity in airway segmentation
Airway segmentation is crucial for the examination, diagnosis, and prognosis of lung
diseases, while its manual delineation is unduly burdensome. To alleviate this time …
diseases, while its manual delineation is unduly burdensome. To alleviate this time …
Bcnet: Bronchus classification via structure guided representation learning
W Huang, H Gong, H Zhang, Y Wang… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
CT-based bronchial tree analysis is a key step for the diagnosis of lung and airway
diseases. However, the topology of bronchial trees varies across individuals, which presents …
diseases. However, the topology of bronchial trees varies across individuals, which presents …
[HTML][HTML] Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
Airway-related quantitative imaging biomarkers are crucial for examination, diagnosis, and
prognosis in pulmonary diseases. However, the manual delineation of airway structures …
prognosis in pulmonary diseases. However, the manual delineation of airway structures …
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 …
Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
This paper presents a fully automatic and end-to-end optimised airway segmentation
method for thoracic computed tomography, based on the U-Net architecture. We use a …
method for thoracic computed tomography, based on the U-Net architecture. We use a …
Artificial intelligence in COPD CT images: identification, staging, and quantitation
Y Wu, S **a, Z Liang, R Chen, S Qi - Respiratory Research, 2024 - Springer
Chronic obstructive pulmonary disease (COPD) stands as a significant global health
challenge, with its intricate pathophysiological manifestations often demanding advanced …
challenge, with its intricate pathophysiological manifestations often demanding advanced …