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Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet
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 …
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 …
prevalent type being adolescent idiopathic scoliosis (AIS). The rotational spinal deformation …
Ribseg dataset and strong point cloud baselines for rib segmentation from ct scans
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 …
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 …
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
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 …
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
Automatic rib labeling and anatomical centerline extraction are common prerequisites for
various clinical applications. Prior studies either use in-house datasets that are inaccessible …
various clinical applications. Prior studies either use in-house datasets that are inaccessible …
Pointscatter: Point set representation for tubular structure extraction
This paper explores the point set representation for tubular structure extraction tasks.
Compared with the traditional mask representation, the point set representation enjoys its …
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 …
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
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 …
(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 …
assessment speed and reduce radiologists mistakes. We introduce a model for multilabel …