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. 2501.07196
  4. Cited By
Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users

Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users

13 January 2025
José María Buades Rubio
Gabriel Moyà Alcover
Antoni Jaume-i-Capó
N. Petrovic
ArXiv (abs)PDFHTML

Papers citing "Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users"

4 / 4 papers shown
Title
Sickle-cell disease diagnosis support selecting the most appropriate
  machinelearning method: Towards a general and interpretable approach for
  cellmorphology analysis from microscopy images
Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images
N. Petrovic
Gabriel Moyà-Alcover
Antoni Jaume-i-Capó
Manuel González Hidalgo
48
36
0
09 Oct 2020
A Survey of Crowdsourcing in Medical Image Analysis
A Survey of Crowdsourcing in Medical Image Analysis
S. Ørting
Andrew Doyle
A. Hilten
Matthias Hirth
Oana Inel
C. Madan
Panagiotis Mavridis
Helen Spiers
Veronika Cheplygina
91
71
0
25 Feb 2019
Crowdsourcing Lung Nodules Detection and Annotation
Crowdsourcing Lung Nodules Detection and Annotation
S. Boorboor
Saad Nadeem
Ji Hwan Park
Kevin Baker
Arie Kaufman
36
8
0
17 Sep 2018
Accuracy Measures for the Comparison of Classifiers
Accuracy Measures for the Comparison of Classifiers
Vincent Labatut
H. Cherifi
77
136
0
16 Jul 2012
1