Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study
F
Fabian Cano
M
Mauricio Caviedes
A
Andres Siabatto
J
Jesus Villarreal
J
Jose Quijano
�
Álvaro Bedoya-Urresta
M
Marino Coral Bedoya
Y
Yomaira Yepez Caicedo
A
Angel Cruz-Roa
F
Fabio A. González
S
Satish E. Viswanath
E
Eduardo Romero
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
February 26, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (12)
F
Fabian Cano
M
Mauricio Caviedes
A
Andres Siabatto
J
Jesus Villarreal
J
Jose Quijano
�
Álvaro Bedoya-Urresta
M
Marino Coral Bedoya
Y
Yomaira Yepez Caicedo
A
Angel Cruz-Roa
F
Fabio A. González
S
Satish E. Viswanath
E
Eduardo Romero
Related Articles from this Journal
AI models of unstable flow exhibit hallucination
Ramdhan Wibawa, Birendra Jha
Aug 2026
10.1038/s41598-026-64023-8
The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep
Hang Zhang, Yuang Cheng et al.
Aug 2026
10.1038/s41598-026-64075-w
Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean
Ava Mohrazi, Reza Ghasemi-Fasaei
Aug 2026
10.1038/s41598-026-66011-4
Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game
Niloofar Saeedi, Khatereh Borhani et al.
Aug 2026
10.1038/s41598-026-64831-y
An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation
Hyein Lee, Dae-Hyun Jung
Aug 2026
10.1038/s41598-026-64156-w