Pathologists examine histology sections to make diagnostic and prognostic assessments regarding cancer based on deviations in cellular and/or glandular ...

A reliable method for segmenting edges from grayscale images is established and it is indicated that this quantitative method could be used in an automated ...

Nov 22, 2018 · Considered technique allows the segmentation of histological images by means of semisupervised learning using Histogram-based Autoencoder Neural Networks.

This method results in the segmentation of histological structures and the estimation of their fractal dimension (independent of imaging conditions). In recent ...

Nov 5, 2014 · The carotid body (CB) may undergo different structural changes during perinatal development, aging, or in response to environmental stimuli.

Feb 17, 2024 · Fractal analysis of histological samples with the determination of the fractal dimension using the box counting method has already been used to ...

Computer-assisted segmentation of histological structures in the three studied organs. An illustration is given before and after semi-automated segmentation ...

Histological image segmentation is usually the first step in quantitative analysis of tumor pathology slides that include heterogenous tissue components.

Yang and Foran [54] presented a robust color based segmentation algorithm for histological structures that used image gradients estimated in the LUV color space ...

On these bases, fractal analysis, when applied to clinical and histological images, can quantitatively assess the complexity and irregularity of structures ...