Deep learning-enabled medical computer vision

A Esteva, K Chou, S Yeung, N Naik, A Madani… - NPJ digital …, 2021 - nature.com
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …

[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 …

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval

X Wang, Y Du, S Yang, J Zhang, M Wang, J Zhang… - Medical image …, 2023 - Elsevier
Benefiting from the large-scale archiving of digitized whole-slide images (WSIs), computer-
aided diagnosis has been well developed to assist pathologists in decision-making. Content …

AI in medical imaging informatics: current challenges and future directions

AS Panayides, A Amini, ND Filipovic… - IEEE journal of …, 2020 - ieeexplore.ieee.org
This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …

Digital pathology and computational image analysis in nephropathology

L Barisoni, KJ Lafata, SM Hewitt… - Nature Reviews …, 2020 - nature.com
The emergence of digital pathology—an image-based environment for the acquisition,
management and interpretation of pathology information supported by computational …

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 …

MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging

D Schapiro, A Sokolov, C Yapp, YA Chen, JL Muhlich… - Nature …, 2022 - nature.com
Highly multiplexed tissue imaging makes detailed molecular analysis of single cells possible
in a preserved spatial context. However, reproducible analysis of large multichannel images …

Artificial intelligence in clinical and genomic diagnostics

R Dias, A Torkamani - Genome medicine, 2019 - Springer
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …

[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 …

A practical guide to whole slide imaging: a white paper from the digital pathology association

MD Zarella, D Bowman, F Aeffner… - … of pathology & …, 2019 - meridian.allenpress.com
Context.—Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a
necessary first step for a wide array of digital tools to enter the field. Its basic function is to …