This paper investigates the impact of the amount of training data and the shape variability on
the segmentation provided by the deep learning architecture U-Net. Further, the correctness …

This paper describes an unsupervised algorithm, which segments the nuclear envelope of
HeLa cells imaged by Serial Block Face Scanning Electron Microscopy. The algorithm …

This paper describes an algorithm to segment the 3D nuclear envelope of HeLa cancer cells
from electron microscopy images and model the volumetric shape of the nuclear envelope …

This dissertation investigates the volumetric analysis of a variety of cervical cancer cells
called HeLa cells. HeLa cells were derived from cervical cancer cells taken from Henrietta …

This paper describes an unsupervised algorithm, which segments the nuclear envelope of
HeLa cells imaged by Serial Block Face Scanning Electron Microscopy. The algorithm …

This paper describes an algorithm to segment the 3D nuclear envelope of HeLa cancer cells
from electron microscopy images and model the volumetric shape of the nuclear envelope …

This paper describes a framework for the automatic segmentation of the nuclear envelope of
cancerous HeLa cells and the modelling of the volumetric shape against an ellipsoid. The …