Correction to: MSDNet: a deep neural ensemble model for abnormality detection and classification of plain radiographs (Journal of Ambient Intelligence and Humanized Computing, (2023), 14, 12, (16099-16113), 10.1007/s12652-022-03835-8)
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2023
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Springer Science and Business Media Deutschland GmbH
Abstract
Figures in Table 2 was missing from this article; the figure should have appeared as shown below. (Table presented.) A sample of Indiana dataset chest X-ray images and its description Image Indication Findings Impression Preoperative renal transplant The lungs and pleural spaces show no acute abnormality. Stable left upper lobe calcified granuloma. Heart size is mildly enlarged, pulmonary vascularity within normal limits. Mild tortuosity of the descending thoracic aorta No acute pulmonary findings. Mild cardiomegaly Chest and midback pain Stable cardiomediastinal silhouette with tortuous thoracic aorta. No pneumothorax, pleural effusion or suspicious focal air space opacity. Stable right lung base scarring Stable exam with no acute abnormality seen Shortness of breath The cardiac contours are normal. The lungs are hyperinflated with flattening of the diaphragms and tapering of the distal pulmonary vasculature. There is no focal consolidation. Thoracic spondylosis. Mild dextroscoliosis of the spine. Prior anterior cervical fusion Emphysema without superimposed pneumonia The original article has been corrected. © 2022, Springer-Verlag GmbH Germany, part of Springer Nature.
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Journal of Ambient Intelligence and Humanized Computing, 2023, Vol.14, 12, p.17009 -17010
