Digital pathology: advantages, limitations and emerging perspectives
SW Jahn, M Plass, F Moinfar - Journal of clinical medicine, 2020 - mdpi.com
Digital pathology is on the verge of becoming a mainstream option for routine diagnostics.
Faster whole slide image scanning has paved the way for this development, but …
Faster whole slide image scanning has paved the way for this development, but …
The role of telehealth during the COVID-19 pandemic across the interdisciplinary cancer team: implications for practice
C Paterson, R Bacon, R Dwyer, KS Morrison… - Seminars in oncology …, 2020 - Elsevier
Objective This literature review aims to explore the role of telehealth during the COVID-19
pandemic across the interdisciplinary cancer care team. Data Sources Electronic databases …
pandemic across the interdisciplinary cancer care team. Data Sources Electronic databases …
[HTML][HTML] Integrating digital pathology into clinical practice
The field of anatomic pathology has been evolving in the last few decades and the
advancements have been largely fostered by innovative technology. Immunohistochemistry …
advancements have been largely fostered by innovative technology. Immunohistochemistry …
Best practice recommendations for the implementation of a digital pathology workflow in the anatomic pathology laboratory by the European Society of Digital and …
The interest in implementing digital pathology (DP) workflows to obtain whole slide image
(WSI) files for diagnostic purposes has increased in the last few years. The increasing …
(WSI) files for diagnostic purposes has increased in the last few years. The increasing …
[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
Digital histopathology by infrared spectroscopic imaging
R Bhargava - Annual Review of Analytical Chemistry, 2023 - annualreviews.org
Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra,
enabling a comprehensive measurement of the chemical makeup and heterogeneity of …
enabling a comprehensive measurement of the chemical makeup and heterogeneity of …
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
The digitalization of clinical workflows and the increasing performance of deep learning
algorithms are paving the way towards new methods for tackling cancer diagnosis …
algorithms are paving the way towards new methods for tackling cancer diagnosis …
[HTML][HTML] Digital health solutions to control the COVID-19 pandemic in countries with high disease prevalence: literature review
Background COVID-19, the disease caused by the novel coronavirus SARS-CoV-2, has
become a global pandemic, affecting most countries worldwide. Digital health information …
become a global pandemic, affecting most countries worldwide. Digital health information …
Boosted efficientnet: Detection of lymph node metastases in breast cancer using convolutional neural networks
Simple Summary The assistance of computer image analysis that automatically identifies
tissue or cell types has greatly improved histopathologic interpretation and diagnosis …
tissue or cell types has greatly improved histopathologic interpretation and diagnosis …
Integrated digital pathology at scale: a solution for clinical diagnostics and cancer research at a large academic medical center
Objective Broad adoption of digital pathology (DP) is still lacking, and examples for DP
connecting diagnostic, research, and educational use cases are missing. We blueprint a …
connecting diagnostic, research, and educational use cases are missing. We blueprint a …