Lightweight multi-scale classification of chest radiographs via size-specific batch normalization-Reference-Cited by-同舟云学术

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Lightweight multi-scale classification of chest radiographs via size-specific batch normalization

Published:2023-06 Issue: Volume:236 Page:107558
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

C． Pereira Sofia^ORCID,Rocha Joana^ORCID,Campilho Aurélio,Sousa Pedro,Mendonça Ana Maria^ORCID

Funder

Canadian Mennonite University

Fundação para a Ciência e a Tecnologia

European Regional Development Fund

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference35 articles.

1. Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography;Alam,2022

2. An intelligent deep convolutional network based Covid-19 detection from chest X-rays;Alshahrni;Alex. Eng. J.,2022

3. Domain-specific batch normalization for unsupervised domain adaptation;Chang,2019

4. ImageNet: a large-scale hierarchical image database;Deng,2009

5. Training BatchNorm and only BatchNorm: On the expressive power of random features in CNNs;Frankle,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Label correlation guided discriminative label feature learning for multi-label chest image classification;Computer Methods and Programs in Biomedicine;2024-03

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