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 …
Efficient multiple moving object detection and tracking using combined background subtraction and clustering
HSG Supreeth, CM Patil - Signal, Image and Video Processing, 2018 - Springer
Object detection and tracking is a fundamental, challenging task in computer vision because
of the difficulties in tracking. Continuous deformation of objects during movement and …
of the difficulties in tracking. Continuous deformation of objects during movement and …
Deep learning as a tool for automatic segmentation of corneal endothelium images
K Nurzynska - Symmetry, 2018 - mdpi.com
The automatic analysis of the state of the corneal endothelium is of much interest in
ophthalmology. Up till now, several manual and semi-automatic methods have been …
ophthalmology. Up till now, several manual and semi-automatic methods have been …
Automatic segmentation of corneal endothelium images with convolutional neural network
K Nurzynska - … Databases, Architectures and Structures. Facing the …, 2018 - Springer
A fully-automatic segmentation of corneal endothelial images is addressed in this paper. It
can find its application in the medicine removing the burden of manual annotations from the …
can find its application in the medicine removing the burden of manual annotations from the …