Artificial intelligence for digital and computational pathology
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …
including deep learning, have boosted the field of computational pathology. This field holds …
Methods for nuclei detection, segmentation, and classification in digital histopathology: a review—current status and future potential
Digital pathology represents one of the major evolutions in modern medicine. Pathological
examinations constitute the gold standard in many medical protocols, and also play a critical …
examinations constitute the gold standard in many medical protocols, and also play a critical …
[HTML][HTML] SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer
Human epidermal growth factor receptor 2 (HER2) is an important prognostic and predictive
factor which is overexpressed in 15–20% of breast cancer (BCa). The determination of its …
factor which is overexpressed in 15–20% of breast cancer (BCa). The determination of its …
[图书][B] The structure of complex networks: theory and applications
E Estrada - 2012 - books.google.com
This book deals with the analysis of the structure of complex networks by combining results
from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 …
from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 …
Histopathological image analysis: A review
MN Gurcan, LE Boucheron, A Can… - IEEE reviews in …, 2009 - ieeexplore.ieee.org
Over the past decade, dramatic increases in computational power and improvement in
image analysis algorithms have allowed the development of powerful computer-assisted …
image analysis algorithms have allowed the development of powerful computer-assisted …
Quantifying explainers of graph neural networks in computational pathology
Explainability of deep learning methods is imperative to facilitate their clinical adoption in
digital pathology. However, popular deep learning methods and explainability techniques …
digital pathology. However, popular deep learning methods and explainability techniques …
Graph CNN for survival analysis on whole slide pathological images
Deep neural networks have been used in survival prediction by providing high-quality
features. However, few works have noticed the significant role of topological features of …
features. However, few works have noticed the significant role of topological features of …
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles
J Barker, A Hoogi, A Depeursinge, DL Rubin - Medical image analysis, 2016 - Elsevier
Computerized analysis of digital pathology images offers the potential of improving clinical
care (eg automated diagnosis) and catalyzing research (eg discovering disease subtypes) …
care (eg automated diagnosis) and catalyzing research (eg discovering disease subtypes) …
[图书][B] Discrete calculus: Applied analysis on graphs for computational science
LJ Grady, JR Polimeni - 2010 - Springer
The field of discrete calculus, also known as" discrete exterior calculus", focuses on finding a
proper set of definitions and differential operators that make it possible to operate the …
proper set of definitions and differential operators that make it possible to operate the …
Pathology imaging informatics for quantitative analysis of whole-slide images
Objectives With the objective of bringing clinical decision support systems to reality, this
article reviews histopathological whole-slide imaging informatics methods, associated …
article reviews histopathological whole-slide imaging informatics methods, associated …