Molecular pathology via IR and Raman spectral imaging

M Diem, A Mazur, K Lenau, J Schubert… - Journal of …, 2013 - Wiley Online Library
During the last 15 years, vibrational spectroscopic methods have been developed that can
be viewed as molecular pathology methods that depend on sampling the entire genome …

Implementation of digital pathology offers clinical and operational increase in efficiency and cost savings

MG Hanna, VE Reuter, J Samboy… - … of pathology & …, 2019 - meridian.allenpress.com
Context.—Digital pathology (DP) implementations vary in scale, based on aims of intended
operation. Few laboratories have completed a full-scale DP implementation, which may be …

Whole-slide imaging, tissue image analysis, and artificial intelligence in veterinary pathology: An updated introduction and review

A Zuraw, F Aeffner - Veterinary Pathology, 2022 - journals.sagepub.com
Since whole-slide imaging has been commercially available for over 2 decades, digital
pathology has become a constantly expanding aspect of the pathology profession that will …

[HTML][HTML] Orbit image analysis: an open-source whole slide image analysis tool

M Stritt, AK Stalder, E Vezzali - PLoS computational biology, 2020 - journals.plos.org
We describe Orbit Image Analysis, an open-source whole slide image analysis tool. The tool
consists of a generic tile-processing engine which allows the execution of various image …

[HTML][HTML] Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectations

J Drogt, M Milota, S Vos, A Bredenoord, K Jongsma - Modern pathology, 2022 - Elsevier
Recent progress in the development of artificial intelligence (AI) has sparked enthusiasm for
its potential use in pathology. As pathology labs are currently starting to shift their focus …

Advances in deep neuropathological phenotyping of Alzheimer disease: past, present, and future

MN Shakir, BN Dugger - Journal of Neuropathology & …, 2022 - academic.oup.com
Alzheimer disease (AD) is a neurodegenerative disorder characterized pathologically by the
presence of neurofibrillary tangles and amyloid beta (Aβ) plaques in the brain. The disease …

Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks

KH Yu, F Wang, GJ Berry, C Re… - Journal of the …, 2020 - academic.oup.com
Objective Non-small cell lung cancer is a leading cause of cancer death worldwide, and
histopathological evaluation plays the primary role in its diagnosis. However, the …

A review for cervical histopathology image analysis using machine vision approaches

C Li, H Chen, X Li, N Xu, Z Hu, D Xue, S Qi… - Artificial Intelligence …, 2020 - Springer
Because cervical histopathology image analysis plays a very importation role in the cancer
diagnosis and medical treatment processes, since the 1980s, more and more effective …

[HTML][HTML] Going fully digital: Perspective of a Dutch academic pathology lab

N Stathonikos, M Veta, A Huisman… - Journal of pathology …, 2013 - Elsevier
During the last years, whole slide imaging has become more affordable and widely
accepted in pathology labs. Digital slides are increasingly being used for digital archiving of …

Emerging themes in image informatics and molecular analysis for digital pathology

R Bhargava, A Madabhushi - Annual review of biomedical …, 2016 - annualreviews.org
Pathology is essential for research in disease and development, as well as for clinical
decision making. For more than 100 years, pathology practice has involved analyzing …