Convolutional neural network architectures and aggregation information models for pulmonary X-ray segmentation-Reference-Cited by-同舟云学术

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Convolutional neural network architectures and aggregation information models for pulmonary X-ray segmentation

Published:2024-06-26 Issue: Volume: Page:350-357
ISSN:
Container-title:2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)
language:
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Author:

Nadal-Martínez Antonio¹,Talavera-Martínez Lidia²,Munar Marc²,González-Hidalgo Manuel³

Affiliation:

1. University of the Balearic Islands,Palma,Spain

2. University of the Balearic Islands,SCOPIA Research Group Health Research Institute of the Balearic Islands (IdISBa) Artificial Intelligence Research Institute of the Balearic Islands (IAIB),Palma,Spain

3. University of the Balearic Islands,SCOPIA Research Group Health Research Institute of the Balearic Islands (IdISBa) Laboratory of Artificial Intelligence Applications (LAIA@UIB) Artificial Intelligence Research Institute of the Balearic Islands (IAIB),Palma,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10600689/10600715/10600851.pdf?arnumber=10600851

Reference28 articles.

1. Segmenting the Optic Disc Using a Deep Learning Ensemble Model Based on OWA Operators

2. LinkNet: Exploiting encoder representations for efficient semantic segmentation

3. Constructing membership functions using interpolation and measurement theory

4. Radiography database;Radiological Society of North America,2019

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