Article

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

2021-02-13

Abstract excerpt

<h4>ABSTRACT</h4> In response to the COVID-19 global pandemic, recent research has proposed creating deep learning based models that use chest radiographs (CXRs) in a variety of clinical tasks to help manage the crisis. However, the size of existing datasets of CXRs from COVID-19+ patients are relatively small, and researchers often pool CXR data from multiple sources, for example, using different x-ray machines i...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: fe6590c9-28c9-5a4a-bf6f-3f029ac86ff7
DOI: 10.1101/2021.02.11.20196766

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglementDOI 10.1101/2021.02.11.20196766Read

COVID-19 Severity Prediction from Chest X-ray Images using an Anatomy-Aware Deep Learning ModelSemantic proximity Read

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality ConstraintSemantic proximity Read

COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localizationSemantic proximity Read

The Detection of COVID-19 in Chest X-Rays Using Ensemble CNN TechniquesSemantic proximity Read

Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detectionSemantic proximity Read

COVIDScreen: Explainable deep learning framework for differential diagnosis of COVID-19 using chest X-RaysSemantic proximity Read

X-Ray Image Classification of Covid-19 Using Transfer Learning with Vgg16 and Vgg19Semantic proximity Read

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural networkSemantic proximity Read

Resoluteneuronet: Deep Learning-based Segmentation and Classification Covid-19 Using Chest X-ray ImagesSemantic proximity Read

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19Semantic proximity Read

<i>Shortkit-ML</i> : A Unified Multi-Perspective Framework for Detecting Shortcut Learning in Medical Imaging EmbeddingsSemantic proximity Read

Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Chest X-raysSemantic proximity Read