[HTML][HTML] 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 …

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 …

[HTML][HTML] Integrating digital pathology into clinical practice

MG Hanna, O Ardon, VE Reuter, SJ Sirintrapun… - Modern Pathology, 2022 - Elsevier
The field of anatomic pathology has been evolving in the last few decades and the
advancements have been largely fostered by innovative technology. Immunohistochemistry …

[HTML][HTML] Best practice recommendations for the implementation of a digital pathology workflow in the anatomic pathology laboratory by the European Society of Digital …

F Fraggetta, V L'imperio, D Ameisen, R Carvalho… - Diagnostics, 2021 - mdpi.com
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 …

[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …

A Bakrania, N Joshi, X Zhao, G Zheng, M Bhat - Pharmacological research, 2023 - Elsevier
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 …

[HTML][HTML] 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 …

[HTML][HTML] Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations

N Marini, S Marchesin, S Otálora, M Wodzinski… - NPJ digital …, 2022 - nature.com
The digitalization of clinical workflows and the increasing performance of deep learning
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

SR Niakan Kalhori, K Bahaadinbeigy, K Deldar… - Journal of medical …, 2021 - jmir.org
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 …

[HTML][HTML] Boosted efficientnet: Detection of lymph node metastases in breast cancer using convolutional neural networks

J Wang, Q Liu, H Xie, Z Yang, H Zhou - Cancers, 2021 - mdpi.com
Simple Summary The assistance of computer image analysis that automatically identifies
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

PJ Schüffler, L Geneslaw… - Journal of the …, 2021 - academic.oup.com
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 …