Transformers in medical imaging: A survey
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …
successfully applied to several computer vision problems, achieving state-of-the-art results …
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
A multi-branch hybrid transformer network for corneal endothelial cell segmentation
Corneal endothelial cell segmentation plays a vital role in quantifying clinical indicators such
as cell density, coefficient of variation, and hexagonality. However, the corneal …
as cell density, coefficient of variation, and hexagonality. However, the corneal …
Segmentation of corneal endothelium images using a U-Net-based convolutional neural network
A Fabijańska - Artificial intelligence in medicine, 2018 - Elsevier
Diagnostic information regarding the health status of the corneal endothelium may be
obtained by analyzing the size and the shape of the endothelial cells in specular microscopy …
obtained by analyzing the size and the shape of the endothelial cells in specular microscopy …
CNN-watershed: A watershed transform with predicted markers for corneal endothelium image segmentation
A Kucharski, A Fabijańska - Biomedical Signal Processing and Control, 2021 - Elsevier
Quantitive information about corneal endothelium cells' morphometry is vital for assessing
cornea pathologies. Nevertheless, in clinical, everyday routine dominates qualitative …
cornea pathologies. Nevertheless, in clinical, everyday routine dominates qualitative …
Fully convolutional architecture vs sliding-window CNN for corneal endothelium cell segmentation
JP Vigueras-Guillén, B Sari, SF Goes, HG Lemij… - BMC Biomedical …, 2019 - Springer
Background Corneal endothelium (CE) images provide valuable clinical information
regarding the health state of the cornea. Computation of the clinical morphometric …
regarding the health state of the cornea. Computation of the clinical morphometric …
Advantages of transformer and its application for medical image segmentation: a survey
Purpose Convolution operator-based neural networks have shown great success in medical
image segmentation over the past decade. The U-shaped network with a codec structure is …
image segmentation over the past decade. The U-shaped network with a codec structure is …
A review on digital image processing techniques for in-vivo confocal images of the cornea
This work reviews the scientific literature regarding digital image processing for in vivo
confocal microscopy images of the cornea. We present and discuss a selection of prominent …
confocal microscopy images of the cornea. We present and discuss a selection of prominent …
Fully automatic evaluation of the corneal endothelium from in vivo confocal microscopy
B Selig, KA Vermeer, B Rieger, T Hillenaar… - BMC medical …, 2015 - Springer
Background Manual and semi-automatic analyses of images, acquired in vivo by confocal
microscopy, are often used to determine the quality of corneal endothelium in the human …
microscopy, are often used to determine the quality of corneal endothelium in the human …
Corneal endothelial cell segmentation by classifier-driven merging of oversegmented images
JP Vigueras-Guillén, ER Andrinopoulou… - … on Medical Imaging, 2018 - ieeexplore.ieee.org
Corneal endothelium images obtained by in vivo specular microscopy provide important
information to assess the health status of the cornea. Estimation of clinical parameters, such …
information to assess the health status of the cornea. Estimation of clinical parameters, such …