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WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval

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WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval

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Tabatabaei, Z.; Wang, Y.; Colomer, A.; Oliver Moll, J.; Zhao, Z.; Naranjo Ornedo, V. (2023). WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval. Bioengineering. 10(10). https://doi.org/10.3390/bioengineering10101144

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/205646

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Title: WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval
Author: Tabatabaei, Zahra Wang, Yuandou Colomer, Adrián Oliver Moll, Javier Zhao, Zhiming Naranjo Ornedo, Valeriana
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
Issued date:
Abstract:
[EN] The paper proposes a federated content-based medical image retrieval (FedCBMIR) tool that utilizes federated learning (FL) to address the challenges of acquiring a diverse medical data set for training CBMIR models. ...[+]
Subjects: Breast cancer , Content-based medical image retrieval (CBMIR) , Convolutional auto-encoder (CAE) , Federated learning (FL) , Computer-aided diagnosis , Histopathological images , Digital pathology , Whole-slide images (WSIs)
Copyrigths: Reconocimiento (by)
Source:
Bioengineering. (eissn: 2306-5354 )
DOI: 10.3390/bioengineering10101144
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/bioengineering10101144
Project ID:
info:eu-repo/grantAgreement/EC/H2020/860627/EU/CLoud ARtificial Intelligence For pathologY/
info:eu-repo/grantAgreement/UPV//PAID-PD-22/
Thanks:
This study is funded by European Union s Horizon 2020 research and innovation program under the Marie Skodowska-Curie grant agreement No. 860627 (CLARIFY Project). The work of Adrián Colomer has been supported by the ValgrAI ...[+]
Type: Artículo

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