Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

L **, J Yang, K Kuang, B Ni, Y Gao, Y Sun, P Gao… - …, 2020 - thelancet.com
Background Diagnosis of rib fractures plays an important role in identifying trauma severity.
However, quickly and precisely identifying the rib fractures in a large number of CT images …

Imaging methods to quantify the chest and trunk deformation in adolescent idiopathic scoliosis: a literature review

A San Román Gaitero, A Shoykhet, I Spyrou… - Healthcare, 2023 - mdpi.com
Background context: Scoliosis is a three-dimensional deformity of the spine with the most
prevalent type being adolescent idiopathic scoliosis (AIS). The rotational spinal deformation …

Ribseg dataset and strong point cloud baselines for rib segmentation from ct scans

J Yang, S Gu, D Wei, H Pfister, B Ni - … –October 1, 2021, Proceedings, Part I …, 2021 - Springer
Manual rib inspections in computed tomography (CT) scans are clinically critical but labor-
intensive, as 24 ribs are typically elongated and oblique in 3D volumes. Automatic rib …

Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification

R Castro-Zunti, KJ Chae, Y Choi, GY **… - … Medical Imaging and …, 2021 - Elsevier
Rib fractures are injuries commonly assessed in trauma wards. Deep learning has
demonstrated state-of-the-art accuracy for a variety of tasks, including image classification …

Deep rib fracture instance segmentation and classification from ct on the ribfrac challenge

J Yang, R Shi, L **, X Huang, K Kuang, D Wei… - arxiv preprint arxiv …, 2024 - arxiv.org
Rib fractures are a common and potentially severe injury that can be challenging and labor-
intensive to detect in CT scans. While there have been efforts to address this field, the lack of …

Ribseg v2: A large-scale benchmark for rib labeling and anatomical centerline extraction

L **, S Gu, D Wei, JK Adhinarta… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Automatic rib labeling and anatomical centerline extraction are common prerequisites for
various clinical applications. Prior studies either use in-house datasets that are inaccessible …

Pointscatter: Point set representation for tubular structure extraction

D Wang, Z Zhang, Z Zhao, Y Liu, Y Chen… - European conference on …, 2022 - Springer
This paper explores the point set representation for tubular structure extraction tasks.
Compared with the traditional mask representation, the point set representation enjoys its …

An Algorithm for Automatic Rib Fracture Recognition Combined with nnU‐Net and DenseNet

J Zhang, Z Li, S Yan, H Cao, J Liu… - … and Alternative Medicine, 2022 - Wiley Online Library
Rib fracture is the most common thoracic clinical trauma. Most patients have multiple
different types of rib fracture regions, so accurate and rapid identification of all trauma …

Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding

H Guo, J Zhang, K Yan, L Lu… - IEEE Journal of Biomedical …, 2024 - ieeexplore.ieee.org
Automatic parsing of human anatomies at the instance-level from 3D computed tomography
(CT) is a prerequisite step for many clinical applications. The presence of pathologies …

Hierarchical Loss and Geometric Mask Refinement for Multilabel Ribs Segmentation

A Leonov, A Zakharov, S Koshelev… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Automatic ribs segmentation and numeration can increase computed tomography
assessment speed and reduce radiologists mistakes. We introduce a model for multilabel …