ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2409.15546
  4. Cited By
A Novel Framework for the Automated Characterization of Gram-Stained
  Blood Culture Slides Using a Large-Scale Vision Transformer
v1v2 (latest)

A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer

23 September 2024
Jack McMahon
Naofumi Tomita
Elizabeth S. Tatishev
Adrienne A. Workman
Cristina R Costales
Niaz Banaei
Isabella W. Martin
Saeed Hassanpour
ArXiv (abs)PDFHTML

Papers citing "A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer"

1 / 1 papers shown
Title
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
Amit Das
Naofumi Tomita
Kyle J. Syme
Weijie Ma
Paige O'Connor
Kristin N. Corbett
Bing Ren
Xiaoying Liu
Saeed Hassanpour
5
0
0
18 Jun 2025
1