AI (artificial intelligence) in histopathology--from image analysis to automated diagnosis.

K Kayser, JĂ GĂśrtler, M Bogovac… - Folia Histochemica …, 2009 - journals.viamedica.pl
The technological progress in digitalization of complete histological glass slides has opened
a new door in tissue--based diagnosis. The presentation of microscopic images as a whole …

Role of artificial intelligence in diagnostic oral pathology-A modern approach

AB Krishna, A Tanveer, PV Bhagirath… - Journal of Oral and …, 2020 - journals.lww.com
Over the decades, new equipment was emerged in medical field, and we have witnessed
the importance of medical imaging such as computed tomography, magnetic resonance …

Quantitative pathology in virtual microscopy: history, applications, perspectives

G Kayser, K Kayser - Acta histochemica, 2013 - Elsevier
With the emerging success of commercially available personal computers and the rapid
progress in the development of information technologies, morphometric analyses of static …

Detection and classification of thyroid follicular lesions based on nuclear structure from histopathology images

W Wang, JA Ozolek, GK Rohde - … Part A: The Journal of the …, 2010 - Wiley Online Library
Follicular lesions of the thyroid are traditionally difficult and tedious challenges in diagnostic
surgical pathology in part due to lack of obvious discriminatory cytological and …

[HTML][HTML] The history of pathology informatics: A global perspective

S Park, AV Parwani, RD Aller, L Banach… - Journal of pathology …, 2013 - Elsevier
Pathology informatics has evolved to varying levels around the world. The history of
pathology informatics in different countries is a tale with many dimensions. At first glance, it …

Fractal characteristics of May-Grünwald-Giemsa stained chromatin are independent prognostic factors for survival in multiple myeloma

DP Ferro, MA Falconi, RL Adam, MM Ortega, CP Lima… - PloS one, 2011 - journals.plos.org
Background The use of computerized image analysis for the study of nuclear texture
features has provided important prognostic information for several neoplasias. Recently …

Theory of sampling and its application in tissue based diagnosis

K Kayser, H Schultz, T Goldmann, J Görtler… - Diagnostic …, 2009 - Springer
Background A general theory of sampling and its application in tissue based diagnosis is
presented. Sampling is defined as extraction of information from certain limited spaces and …

Image standards in tissue-based diagnosis (diagnostic surgical pathology)

K Kayser, J Görtler, T Goldmann, E Vollmer… - Diagnostic …, 2008 - Springer
Background Progress in automated image analysis, virtual microscopy, hospital information
systems, and interdisciplinary data exchange require image standards to be applied in …

Dynamic changes in microvascular density can predict viable and non-viable areas in high-risk neuroblastoma

L Privitera, L Musleh, I Paraboschi, O Ogunlade… - Cancers, 2023 - mdpi.com
Simple Summary Neuroblastoma (NB) is the most common extracranial tumor in children.
Despite the development of new therapeutic options, high-risk patients still have poor long …

Texture analysis of parasitological liver fibrosis images

L Moraru, S Moldovanu… - Microscopy research …, 2017 - Wiley Online Library
Liver fibrosis accurate staging is vital to define the state of the Schistosomiasis disease for
further treatment. The present work analyzed the microscopic liver images to identify and to …