Glaucoma detection using image processing techniques: A literature review
The term glaucoma refers to a group of heterogeneous diseases that cause the
degeneration of retinal ganglion cells (RGCs). The degeneration of RGCs leads to two main …
degeneration of retinal ganglion cells (RGCs). The degeneration of RGCs leads to two main …
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge
Scoliosis is a common medical condition, which occurs most often during the growth spurt
just before puberty. Untreated Scoliosis may cause long-term sequelae. Therefore, accurate …
just before puberty. Untreated Scoliosis may cause long-term sequelae. Therefore, accurate …
Toward automated 3D spine reconstruction from biplanar radiographs using CNN for statistical spine model fitting
To date, 3D spine reconstruction from biplanar radiographs involves intensive user
supervision and semi-automated methods that are time-consuming and not effective in …
supervision and semi-automated methods that are time-consuming and not effective in …
X-ray to DRR images translation for efficient multiple objects similarity measures in deformable model 3D/2D registration
B Aubert, T Cresson, JA de Guise… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The robustness and accuracy of the intensity-based 3D/2D registration of a 3D model on
planar X-ray image (s) is related to the quality of the image correspondences between the …
planar X-ray image (s) is related to the quality of the image correspondences between the …
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation
T Vrtovec, B Ibragimov - European Spine Journal, 2022 - Springer
Purpose To summarize and critically evaluate the existing studies for spinopelvic
measurements of sagittal balance that are based on deep learning (DL). Methods Three …
measurements of sagittal balance that are based on deep learning (DL). Methods Three …
Quasi-automatic 3D reconstruction of the full spine from low-dose biplanar X-rays based on statistical inferences and image analysis
Purpose To design a quasi-automated three-dimensional reconstruction method of the spine
from biplanar X-rays as the daily used method in clinical routine is based on manual …
from biplanar X-rays as the daily used method in clinical routine is based on manual …
Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images
Age-related macular degeneration (AMD) is the main cause of irreversible blindness among
the elderly and require early diagnosis to prevent vision loss, and careful treatment is …
the elderly and require early diagnosis to prevent vision loss, and careful treatment is …
Exploring the Potential of Generative Adversarial Networks for Synthesizing Radiological Images of the Spine to be Used in In Silico Trials
F Galbusera, F Niemeyer, M Seyfried… - … in bioengineering and …, 2018 - frontiersin.org
In silico trials recently emerged as a disruptive technology, which may reduce the costs
related to the development and marketing approval of novel medical technologies, as well …
related to the development and marketing approval of novel medical technologies, as well …
Landmark localisation in radiographs using weighted heatmap displacement voting
We propose a new method for fully automatic landmark localisation using Convolutional
Neural Networks (CNNs). Training a CNN to estimate a Gaussian response (“heatmap”) …
Neural Networks (CNNs). Training a CNN to estimate a Gaussian response (“heatmap”) …
Quasi-automatic 3D reconstruction of the full spine from low-dose biplanar X-rays based on statistical inferences and image analysis
Purpose: To design a quasi-automated three-dimensional reconstruction method of the
spine from biplanar X-rays as the daily used method in clinical routine is based on manual …
spine from biplanar X-rays as the daily used method in clinical routine is based on manual …