Precision medicine in digital pathology via image analysis and machine learning

PD Caie, N Dimitriou, O Arandjelović - Artificial intelligence and deep …, 2021 - Elsevier
In this chapter, we present the concept that digital pathology and artificial intelligence can
add value and speed to a pathologist's diagnosis while striving toward precision medicine …

Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis

AV Parwani - Diagnostic pathology, 2019 - Springer
Pathology is the study and diagnosis of disease through the examination of body tissue,
which is typically fixed on glass slides and viewed under a microscope. Most medical …

Image analysis and machine learning in digital pathology: Challenges and opportunities

A Madabhushi, G Lee - Medical image analysis, 2016 - Elsevier
With the rise in whole slide scanner technology, large numbers of tissue slides are being
scanned and represented and archived digitally. While digital pathology has substantial …

Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology

K Bera, KA Schalper, DL Rimm, V Velcheti… - Nature reviews Clinical …, 2019 - nature.com
In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

Digital pathology: Data-intensive frontier in medical imaging

LAD Cooper, AB Carter, AB Farris… - Proceedings of the …, 2012 - ieeexplore.ieee.org
Pathology is a medical subspecialty that practices the diagnosis of disease. Microscopic
examination of tissue reveals information enabling the pathologist to render accurate …

Application of artificial intelligence in pathology: trends and challenges

I Kim, K Kang, Y Song, TJ Kim - Diagnostics, 2022 - mdpi.com
Given the recent success of artificial intelligence (AI) in computer vision applications, many
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …

[HTML][HTML] Artificial intelligence and digital pathology: challenges and opportunities

HR Tizhoosh, L Pantanowitz - Journal of pathology informatics, 2018 - Elsevier
In light of the recent success of artificial intelligence (AI) in computer vision applications,
many researchers and physicians expect that AI would be able to assist in many tasks in …

An empirical analysis of machine learning frameworks for digital pathology in medical science

SKB Sangeetha, R Dhaya, DT Shah… - Journal of physics …, 2021 - iopscience.iop.org
Digital pathology is a technology that allows pathological information created from a digital
slide to be accessed, handled, and interpreted. Using optical pathology scanners, glass …

Translational AI and deep learning in diagnostic pathology

A Serag, A Ion-Margineanu, H Qureshi… - Frontiers in …, 2019 - frontiersin.org
There has been an exponential growth in the application of AI in health and in pathology.
This is resulting in the innovation of deep learning technologies that are specifically aimed at …

[图书][B] Artificial intelligence and deep learning in pathology

S Cohen - 2020 - books.google.com
Recent advances in computational algorithms, along with the advent of whole slide imaging
as a platform for embedding artificial intelligence (AI), are transforming pattern recognition …