An Interaction-Based Convolutional Neural Network (ICNN) Toward a Better Understanding of COVID-19 X-ray Images
The field of explainable artificial intelligence (XAI) aims to build explainable and interpretable machine learning (or deep learning) methods without sacrificing prediction performance. Convolutional neural networks (CNNs) have been successful in making predictions, especially in image classificati...
Guardado en:
Autores principales: | Shaw-Hwa Lo, Yiqiao Yin |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/53ec9eee07714ac8a782832afb013df0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
EDITORIAL: New Horizon for Industrial Engineering and Management
por: Ugljesa Marjanovic
Publicado: (2021) -
Forty's years of quantitative research in China: Retrospectives and perspectives
por: Zongwu Cai, et al.
Publicado: (2021) -
Editorial Board
Publicado: (2021) -
Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images
por: Lucas O. Teixeira, et al.
Publicado: (2021) -
Cadena de suministros para la exportación de granos andinos a Estados Unidos
por: José Enrique Guardián-Sedano, et al.
Publicado: (2019)