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Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities?

https://doi.org/10.1109/tmi.2017.2775636

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Automatic Tuberculosis Detection Using Chest X-ray Analysis With Position Enhanced Structural Information

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Automatic classification of symmetry of hemithoraces in canine and feline radiographs

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inferred← citeshttps://doi.org/10.1142/s0219519423400389openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/2022/3357508openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/2023/8589867openalex-snapshot

An Edge‐Assisted Computing and Mask Attention Based Network for Lung Region Segmentation

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Fractal Analysis in Histology Classification of Non-Small Cell Lung Cancer

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DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs

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Radon-Wavelet Based Novel Image Descriptor for Mammogram Mass Classification

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Differentiation of COVID-19 Conditions using Mediastinum Shape in Chest X-ray Images

inferred← citeshttps://doi.org/10.2196/21790openalex-snapshot

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Pulmonary tuberculosis diagnosis, differentiation and disease management: A review of radiomics applications

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Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges

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Superiority of Supervised Machine Learning on Reading Chest X-Rays in Intensive Care Units

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inferred← citeshttps://doi.org/10.3390/app15137300openalex-snapshot

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Multi-Channel Based Image Processing Scheme for Pneumonia Identification

inferred← citeshttps://doi.org/10.3390/diagnostics13172842openalex-snapshot

Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis

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inferred← citeshttps://doi.org/10.3390/ijerph20021158openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/jcm9030871openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/jpm12060988openalex-snapshot

CardioNet: Automatic Semantic Segmentation to Calculate the Cardiothoracic Ratio for Cardiomegaly and Other Chest Diseases

inferred← citeshttps://doi.org/10.3390/sym12071146openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/sym15081480openalex-snapshot

TransCotANet: A Lung Field Image Segmentation Network with Multidimensional Global Feature Dynamic Aggregation

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Automatic Tuberculosis Screening using Chest Radiographs

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Leaf-Rust and Nitrogen Deficient Wheat Plant Disease Classification using Combined Features and Optimized Ensemble Learning

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Comparative Analysis of Machine-Learning Algorithms for Accurate Diagnosis of Lung Diseases Using Chest X-ray Images: A Study on Balanced and Unbalanced Data on Segmented and Unsegmented Images

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