One of the most challenging problems in histological image analysis is the evaluation of the spatial organizations of histological structures in the tissue. In fact, histological sections may contain a very large number of cells of different types and irregularly distributed, which makes their spatial content indescribable in a simple manner. Graph-based methods have been widely explored in this direction, as they are effective representation tools having the expressive ability to describe spatial characteristics and neighborhood relationships that are visually interpreted by the pathologist. We can distinguish three main families of graph-based methods used for this purpose: syntactic structure analysis, network analysis and spectral analy...
Morphological analysis of the appearance and quantity of cells and tissue architecture has been rout...
Cataloged from PDF version of article.The histopathological examination of tissue specimens is essen...
Medical image analysis in digital histopathology is a currently expanding and exciting field of scie...
One of the most challenging problems in histological image analysis is the evaluation of the spatial...
L'un des problèmes les plus complexes dans l'analyse des images histologiques est l'évaluation de l¿...
Digital image analysis of histological datasets is a currently expanding field of research. With dif...
INTRODUCTION / BACKGROUND: The interaction between tumor and surrounding microenvironment (TME) is r...
Recently, some applications of spatial statistics in histopathology have been explored, also thanks ...
A particularly difficult problem in the field of histopathology is the diagnosis among epitheliosis,...
This paper reports a new structural approach for automated classification of histopathological tissu...
La pathologie numérique s’est développée ces dernières années grâce à l’avancée récente des algorith...
Histopathology aims to analyze images of biological tissues to assess the pathologi¬cal condition of...
Image analysis of the structural organization of cells in histological sections has been shown to be...
Au cours de la dernière décennie, la pathologie numérique a été améliorée grâce aux avancées des alg...
During the last decade, digital pathology has been improved thanks to the advance of image analysis ...
Morphological analysis of the appearance and quantity of cells and tissue architecture has been rout...
Cataloged from PDF version of article.The histopathological examination of tissue specimens is essen...
Medical image analysis in digital histopathology is a currently expanding and exciting field of scie...
One of the most challenging problems in histological image analysis is the evaluation of the spatial...
L'un des problèmes les plus complexes dans l'analyse des images histologiques est l'évaluation de l¿...
Digital image analysis of histological datasets is a currently expanding field of research. With dif...
INTRODUCTION / BACKGROUND: The interaction between tumor and surrounding microenvironment (TME) is r...
Recently, some applications of spatial statistics in histopathology have been explored, also thanks ...
A particularly difficult problem in the field of histopathology is the diagnosis among epitheliosis,...
This paper reports a new structural approach for automated classification of histopathological tissu...
La pathologie numérique s’est développée ces dernières années grâce à l’avancée récente des algorith...
Histopathology aims to analyze images of biological tissues to assess the pathologi¬cal condition of...
Image analysis of the structural organization of cells in histological sections has been shown to be...
Au cours de la dernière décennie, la pathologie numérique a été améliorée grâce aux avancées des alg...
During the last decade, digital pathology has been improved thanks to the advance of image analysis ...
Morphological analysis of the appearance and quantity of cells and tissue architecture has been rout...
Cataloged from PDF version of article.The histopathological examination of tissue specimens is essen...
Medical image analysis in digital histopathology is a currently expanding and exciting field of scie...