[HTML][HTML] Digital pathology and artificial intelligence in translational medicine and clinical practice

V Baxi, R Edwards, M Montalto, S Saha - Modern Pathology, 2022 - Elsevier
Traditional pathology approaches have played an integral role in the delivery of diagnosis,
semi-quantitative or qualitative assessment of protein expression, and classification of …

[HTML][HTML] Artificial intelligence and computational pathology

M Cui, DY Zhang - Laboratory Investigation, 2021 - Elsevier
Data processing and learning has become a spearhead for the advancement of medicine,
with pathology and laboratory medicine has no exception. The incorporation of scientific …

Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

E Abels, L Pantanowitz, F Aeffner… - The Journal of …, 2019 - Wiley Online Library
In this white paper, experts from the Digital Pathology Association (DPA) define terminology
and concepts in the emerging field of computational pathology, with a focus on its …

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

X Li, C Li, MM Rahaman, H Sun, X Li, J Wu… - Artificial Intelligence …, 2022 - Springer
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

The 2019 Genitourinary Pathology Society (GUPS) white paper on contemporary grading of prostate cancer

JI Epstein, MB Amin, SW Fine… - … of pathology & …, 2021 - meridian.allenpress.com
Context.—Controversies and uncertainty persist in prostate cancer grading. Objective.—To
update grading recommendations. Data Sources.—Critical review of the literature along with …

[HTML][HTML] Artificial intelligence (AI) and big data in cancer and precision oncology

Z Dlamini, FZ Francies, R Hull, R Marima - Computational and structural …, 2020 - Elsevier
Artificial intelligence (AI) and machine learning have significantly influenced many facets of
the healthcare sector. Advancement in technology has paved the way for analysis of big …

Artificial intelligence in lung cancer pathology image analysis

S Wang, DM Yang, R Rong, X Zhan, J Fujimoto, H Liu… - Cancers, 2019 - mdpi.com
Objective: Accurate diagnosis and prognosis are essential in lung cancer treatment
selection and planning. With the rapid advance of medical imaging technology, whole slide …

Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer

JR Lin, S Wang, S Coy, YA Chen, C Yapp, M Tyler… - Cell, 2023 - cell.com
Advanced solid cancers are complex assemblies of tumor, immune, and stromal cells
characterized by high intratumoral variation. We use highly multiplexed tissue imaging, 3D …

Whole slide imaging (WSI) in pathology: current perspectives and future directions

N Kumar, R Gupta, S Gupta - Journal of digital imaging, 2020 - Springer
Whole slide imaging (WSI), ever since its first introduction about two decades ago, has been
validated for a number of applications in the field of pathology. The recent approval of US …

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

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 …