A multi-scale gated multi-head attention depthwise separable CNN model for recognizing COVID-19

A multi-scale gated multi-head attention depthwise separable CNN model for recognizing COVID-19

Abstract Coronavirus 2019 (COVID-19) is a new acute respiratory disease that has spread rapidly throughout the world. In this paper, a lightweight convolutional neural network (CNN) model named multi-scale gated multi-head attention depthwise separable CNN (MGMADS-CNN) is proposed, which is based on...

Full description

Saved in:
Bibliographic Details
Main Authors: Geng Hong, Xiaoyan Chen, Jianyong Chen, Miao Zhang, Yumeng Ren, Xinyu Zhang
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/a0ee4193f36c4891b41283052878d3c6
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items