A systematic collection of medical image datasets for deep learning
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …
that it can achieve human-like performance. However, success always comes with …
VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images
Vertebral labelling and segmentation are two fundamental tasks in an automated spine
processing pipeline. Reliable and accurate processing of spine images is expected to …
processing pipeline. Reliable and accurate processing of spine images is expected to …
A vertebral segmentation dataset with fracture grading
MT Löffler, A Sekuboyina, A Jacob, AL Grau… - Radiology: Artificial …, 2020 - pubs.rsna.org
Keywords: CT, Computer Aided Diagnosis (CAD), Computer Applications-General
(Informatics), Convolutional Neural Network (CNN), Diagnosis, Neural Networks …
(Informatics), Convolutional Neural Network (CNN), Diagnosis, Neural Networks …
Recent advances in coupled MBS and FEM models of the spine—a review
K Nispel, T Lerchl, V Senner, JS Kirschke - Bioengineering, 2023 - mdpi.com
How back pain is related to intervertebral disc degeneration, spinal loading or sports-related
overuse remains an unanswered question of biomechanics. Coupled MBS and FEM …
overuse remains an unanswered question of biomechanics. Coupled MBS and FEM …
A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data
H Liebl, D Schinz, A Sekuboyina, L Malagutti… - Scientific data, 2021 - nature.com
With the advent of deep learning algorithms, fully automated radiological image analysis is
within reach. In spine imaging, several atlas-and shape-based as well as deep learning …
within reach. In spine imaging, several atlas-and shape-based as well as deep learning …
OP-convNet: a patch classification-based framework for CT vertebrae segmentation
Accurate vertebrae segmentation from medical images plays an important role in clinical
tasks of surgical planning, diagnosis, kyphosis, scoliosis, degenerative disc disease …
tasks of surgical planning, diagnosis, kyphosis, scoliosis, degenerative disc disease …
MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision
We present MedShapeNet, a large collection of anatomical shapes (eg, bones, organs,
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …
Ecsu-net: an embedded clustering sliced u-net coupled with fusing strategy for efficient intervertebral disc segmentation and classification
Automatic vertebra segmentation from computed tomography (CT) image is the very first and
a decisive stage in vertebra analysis for computer-based spinal diagnosis and therapy …
a decisive stage in vertebra analysis for computer-based spinal diagnosis and therapy …
Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN
N Altini, G De Giosa, N Fragasso, C Coscia, E Sibilano… - Informatics, 2021 - mdpi.com
The accurate segmentation and identification of vertebrae presents the foundations for spine
analysis including fractures, malfunctions and other visual insights. The large-scale …
analysis including fractures, malfunctions and other visual insights. The large-scale …
An automated deep learning approach for spine segmentation and vertebrae recognition using computed tomography images
Spine image analysis is based on the accurate segmentation and vertebrae recognition of
the spine. Several deep learning models have been proposed for spine segmentation and …
the spine. Several deep learning models have been proposed for spine segmentation and …