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Related Experiment Video

Updated: Jun 28, 2025

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

On image search in histopathology.

H R Tizhoosh¹, Liron Pantanowitz²

¹Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA.

Journal of Pathology Informatics

|April 22, 2024

Summary

Histopathology image search uses advanced technology to match patients, aiding diagnosis and prognosis. This review covers efficient computational pathology methods for researchers.

Keywords:

Computational pathology Image search Information retrieval Whole-slide images

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Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation

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Published on: January 22, 2013

Area of Science:

Computational pathology
Digital pathology
Medical imaging analysis

Background:

Histopathology images are crucial for diagnosis and prognosis.
Image analysis facilitates patient matching and disease prediction.
Advancements in search technology enable tissue morphology quantification.

Purpose of the Study:

To review recent developments in histopathology image search technologies.
To provide an overview for computational pathology researchers.
To highlight effective, fast, and efficient image search methods.

Main Methods:

Utilizing similarity calculations for patient image matching.
Leveraging search technologies for tissue morphology quantification.
Comparing new patient data against curated databases.

Main Results:

Implicit quantification of tissue morphology across diverse primary sites.
Facilitation of comparisons for diagnosis and prognosis.
Enabling predictions for new patients based on image data.

Conclusions:

Image search technologies offer significant potential in research and clinical settings.
Computational pathology researchers can benefit from efficient image search methods.
Future applications include improved diagnostic and prognostic capabilities.