ArticlePloS one2022
Pre-processing methods in chest X-ray image classification.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- [Diagnosis of congenital heart disease using Deep Learning in pediatric chest X-rays: A proof of concept].Revista medica del Instituto Mexicano del Seguro Social · 2026Article
- ResNet based backbone integrated YOLO framework for bone fracture detection.Scientific reports · 2026Article
- Transfer Learning for Automated Two-class Classification of Pulmonary Tuberculosis in Chest X-Ray Images.Current medicinal chemistry · 2026Article
- DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability.Journal of imaging informatics in medicine · 2025Article
- Article
- COVID-19 severity detection using chest X-ray segmentation and deep learning.Scientific reports · 2024Article
- ARDS Mortality Prediction Model Using Evolving Clinical Data and Chest Radiograph Analysis.Biomedicines · 2024Article
- Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data.Diagnostics (Basel, Switzerland) · 2024Article
- Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline.European radiology experimental · 2023Article
- VPBR: An Automatic and Low-Cost Vision-Based Biophysical Properties Recognition Pipeline for Pumpkin.Plants (Basel, Switzerland) · 2023Article
- Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography.Journal of digital imaging · 2023Article
- A Denoising and Fourier Transformation-Based Spectrograms in ECG Classification Using Convolutional Neural Network.Sensors (Basel, Switzerland) · 2022Article
- Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma.Scientific reports · 2022Article
- Development of a multipotent diagnostic tool for chest X-rays by multi-object detection method.Scientific reports · 2022Article
- Article
- A Novel Lightweight Approach to COVID-19 Diagnostics Based on Chest X-ray Images.Journal of clinical medicine · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe SARS-CoV-2 pandemic began in early 2020, paralyzing human life all over the world and threatening our security. Thus, the need for an effective, novel approach to diagnosing, preventing, and treating COVID-19 infections became paramount.
methodsThis article proposes a machine learning-based method for the classification of chest X-ray images. We also examined some of the pre-processing methods such as thresholding, blurring, and histogram equalization.
resultsWe found the F1-score results rose to 97%, 96%, and 99% for the three analyzed classes: healthy, COVID-19, and pneumonia, respectively.
conclusionOur research provides proof that machine learning can be used to support medics in chest X-ray classification and improving pre-processing leads to improvements in accuracy, precision, recall, and F1-scores.
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