Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Retinal OCTA-derived microvascular remodeling is associated with coronary microvascular dysfunction in women with ischemia and no obstructive coronary artery disease: A pilot study.

American journal of preventive cardiology·2026

Same author

AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026

Same author

Precision medicine's inevitable trajectory toward rare-disease-sized cohorts: implications for machine learning and deep learning.

The Lancet. Digital health·2026

Same author

Promise to Practice: Reimagining Artificial Intelligence for Equitable Global Health Impact.

Annals of global health·2026

Same author

Reply to Z Yu and F Qin.

The American journal of clinical nutrition·2026

Same author

Artificial Intelligence-informed Architectural Insights of 3-dimensional Glandular Networks Identify Patients With Prostate Cancer at a Higher Risk of Biochemical Recurrence.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc·2026

Same journal

Bridging the Gap - Advancing Microfluidics From Laboratory to Point-of-Care.

IEEE reviews in biomedical engineering·2026

Same journal

Review of Current Advances in Ultrasound Computed Tomography for Medical Imaging.

IEEE reviews in biomedical engineering·2026

Same journal

Gas Embolism: Fundamentals, Diagnosis, and Treatment.

IEEE reviews in biomedical engineering·2026

Same journal

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

IEEE reviews in biomedical engineering·2026

Same journal

Current Trends in Ultrasound Wearables: Spotlight on System Architecture.

IEEE reviews in biomedical engineering·2026

Same journal

A Perspective on Non-Invasive Blood Pressure Monitoring: Bridging Emerging Principles, Enabling Technologies and Extended Applications.

IEEE reviews in biomedical engineering·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 10, 2026

Mast Cells in the Microenvironment of Hepatocellular Carcinoma Confer Favorable Prognosis: A Retrospective Study using QuPath Image Analysis Software

Mast Cells in the Microenvironment of Hepatocellular Carcinoma Confer Favorable Prognosis: A Retrospective Study using QuPath Image Analysis Software

Published on: April 12, 2024

Histopathological image analysis: a review.

Metin N Gurcan¹, Laura E Boucheron, Ali Can

¹Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA. metin.gurcan@osumc.edu

IEEE Reviews in Biomedical Engineering

|July 31, 2010

Summary

This summary is machine-generated.

Computer-assisted diagnosis (CAD) algorithms are revolutionizing digitized histopathology. These advanced image analysis tools enhance disease detection, diagnosis, and prognosis prediction, aiding pathologists in their work.

Keywords:

computer-assisted interpretation histopathology image analysis microscopy analysis

More Related Videos

Generating and Analyzing High-Parameter Histology Images with Histoflow Cytometry

Generating and Analyzing High-Parameter Histology Images with Histoflow Cytometry

Published on: June 21, 2024

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Published on: May 1, 2019

Related Experiment Videos

Last Updated: Jun 10, 2026

Mast Cells in the Microenvironment of Hepatocellular Carcinoma Confer Favorable Prognosis: A Retrospective Study using QuPath Image Analysis Software

Mast Cells in the Microenvironment of Hepatocellular Carcinoma Confer Favorable Prognosis: A Retrospective Study using QuPath Image Analysis Software

Published on: April 12, 2024

Generating and Analyzing High-Parameter Histology Images with Histoflow Cytometry

Generating and Analyzing High-Parameter Histology Images with Histoflow Cytometry

Published on: June 21, 2024

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Published on: May 1, 2019

Area of Science:

Digital pathology
Computational pathology
Medical image analysis

Background:

Advancements in computational power and image analysis algorithms have enabled sophisticated computer-assisted analytical methods for radiological data.
Whole slide digital scanners allow histopathology slides to be digitized, making them suitable for computerized image analysis and machine learning.

Purpose of the Study:

To review the current state-of-the-art computer-assisted diagnosis (CAD) technology for digitized histopathology.
To describe the development and application of novel image analysis technologies for specific histopathology challenges.

Main Methods:

Review of recent literature on CAD algorithms in digitized histopathology.
Description of novel image analysis techniques applied to histopathology problems.

Main Results:

CAD algorithms are increasingly used to complement pathologists' expertise in disease detection, diagnosis, and prognosis.
Emerging image analysis technologies show promise for addressing specific challenges in histopathology.

Conclusions:

Computer-assisted diagnosis holds significant potential to enhance the practice of pathology.
Continued development in image analysis and machine learning will further advance digitized histopathology.