Reduction of Feature Extraction for COVID-19 CXR using Depthwise Separable Convolution Network
A Convolutional Neural Network (CNN) classifier is generally utilized to classify an image tensor according to the mapped labels. The simplification of the classifier causes CNN to be often used to classify images, especially in the biomedical field. Thus, CNN is widely used to classify computer tom...
Main Authors: | Zendi Iklima, Trie Maya Kadarina, Rinto Priambodo |
---|---|
Format: | Article |
Language: | English |
Published: |
Poltekkes Kemenkes Surabaya
2022-10-01
|
Series: | Journal of Electronics, Electromedical Engineering, and Medical Informatics |
Subjects: | |
Online Access: | http://jeeemi.org/index.php/jeeemi/article/view/255 |
Similar Items
-
WMR-DepthwiseNet: A Wavelet Multi-Resolution Depthwise Separable Convolutional Neural Network for COVID-19 Diagnosis
by: Happy Nkanta Monday, et al.
Published: (2022-03-01) -
An FPGA-Based CNN Accelerator Integrating Depthwise Separable Convolution
by: Bing Liu, et al.
Published: (2019-03-01) -
CSDS: End-to-End Aerial Scenes Classification With Depthwise Separable Convolution and an Attention Mechanism
by: Xinyu Wang, et al.
Published: (2021-01-01) -
Multi-Scale Depthwise Separable Convolution for Semantic Segmentation in Street–Road Scenes
by: Yingpeng Dai, et al.
Published: (2023-05-01) -
Real-Time Image Super-Resolution Using Recursive Depthwise Separable Convolution Network
by: Kwok-Wai Hung, et al.
Published: (2019-01-01)