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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

9 October 2020
N. Petrovic
Gabriel Moyà-Alcover
Antoni Jaume-i-Capó
Manuel González Hidalgo
ArXiv (abs)PDFHTML

Papers citing "Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images"

3 / 3 papers shown
Title
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
José María Buades Rubio
Gabriel Moyà Alcover
Antoni Jaume-i-Capó
N. Petrovic
68
1
0
13 Jan 2025
Towards a Novel Measure of User Trust in XAI Systems
Towards a Novel Measure of User Trust in XAI Systems
Miquel Miró-Nicolau
Gabriel Moyà Alcover
Antoni Jaume-i-Capó
Manuel González Hidalgo
Adel Ghazel
Maria Gemma Sempere Campello
Juan Antonio Palmer Sancho
55
0
0
09 May 2024
Shape-Aware Fine-Grained Classification of Erythroid Cells
Shape-Aware Fine-Grained Classification of Erythroid Cells
Ye Wang
Rui Ma
Xiaoqing Ma
Honghua Cui
Yubin Xiao
Xuan Wu
You Zhou
38
5
0
28 Dec 2022
1