Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

PathMaster: content-based cell image retrieval using automated feature extraction.

M E Mattie1, L Staib, E Stratmann

  • 1Department of Pathology, Yale University, New Haven, Connecticut 06520, USA. mark.mattie@yale.edu

Journal of the American Medical Informatics Association : JAMIA
|July 11, 2000
PubMed
Summary
This summary is machine-generated.

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

Domain general frontoparietal regions show modality-dependent coding of auditory and visual rules.

bioRxiv : the preprint server for biology·2024
Same author

3D Capsule Networks for Brain Image Segmentation.

AJNR. American journal of neuroradiology·2023
Same author

Perioperative or only adjuvant gemcitabine plus nab-paclitaxel for resectable pancreatic cancer (NEONAX)-a randomized phase II trial of the AIO pancreatic cancer group.

Annals of oncology : official journal of the European Society for Medical Oncology·2022
Same author

Inguinal hernia TAPP repair using Senhance<sup>®</sup> robotic platform: first multicenter report from the TRUST registry.

Hernia : the journal of hernias and abdominal wall surgery·2021
Same author

In Xenopus ependymal cilia drive embryonic CSF circulation and brain development independently of cardiac pulsatile forces.

Fluids and barriers of the CNS·2020
Same author

Local resolution estimates of cryoEM reconstructions.

Current opinion in structural biology·2020
Same journal

Extending the fundamental theorem of biomedical informatics: a proposal and illustrative examples.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Human factors methods for designing safe health information technology: what do the experts think?

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Equity-by-design for socially assistive robots as digital health tools.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Malfunctions in distributed clinical decision support: 3 cases from a multi‑component clinical decision support system.

Journal of the American Medical Informatics Association : JAMIA·2026
See all related articles

This study introduces PathMaster, an automated system for indexing cytopathology images using computational cell descriptors. PathMaster accurately identifies cell diagnoses, aiding pathologists in uncertain cases.

Area of Science:

  • Computational Pathology
  • Digital Image Analysis
  • Cytology

Background:

  • Current cytopathology image archiving relies on limited text descriptions, failing to capture full image information.
  • Quantifying cell properties and enabling cross-referencing is challenging with traditional methods.

Purpose of the Study:

  • To develop and evaluate an automated method for indexing cytopathology images using computational cell descriptors.
  • To enhance the searchability and diagnostic utility of digital cell image databases.

Main Methods:

  • Implemented PathMaster, a program utilizing computer-based feature extraction routines.
  • Extracted descriptors for cell morphology, texture, color, and spatial orientation.
  • Tested indexing fidelity with 152 lymphocyte/lymphoma cell images.

Related Experiment Videos

Main Results:

  • PathMaster achieved 94% accuracy in listing the correct diagnosis as the first differential.
  • In the remaining 6% of cases, the correct diagnosis was within the top three differentials.

Conclusions:

  • PathMaster serves as a pilot cell image indexing program and search engine.
  • This tool can assist in the diagnostic and prognostic process by providing prioritized identifications for uncertain cells.