Medical Image Augmentation Framework for Resolving Chest X-Ray Data Imbalance
نویسندگان
چکیده
منابع مشابه
fuzzy-based medical x-ray image classification
in this paper a novel fuzzy scheme for medical x-ray image classification is presented. in this method, any image is partitioned in to 25 overlapping subimages and then shape-texture features are extracted from shape and directional information extracted from any subimage. in the classification stage, we apply a fuzzy membership to any subimage with respect to euclidean distance between feature...
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Many medical image classification tasks share a common unbalanced data problem. That is images of the target classes, e.g., certain types of diseases, only appear in a very small portion of the entire dataset. Nowadays, large co llections of medical images are readily available. However, it is costly and may not even be feasible for medical experts to manually comb through a huge unlabeled data...
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The Oxford English Dictionary defines routine as "a regular course or procedure, a more or less mechanical or unvarying performance of certain acts or duties". Over tie past 20 years a chest radio-graph has become a routine part of the assessment of a patient prior to general anaesthesia. It is right that we should periodically confirm, or perhaps question, our reasons for performing any invest...
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A 51-YEAR-OLD white man with a 45-year history of smoking was noted to have an abnormality on a routine chest x-ray. He denied any history of cough, sputum production, chest pain, dyspnea, weight loss, weakness, or tuberculosis. There was no previous chest x-ray available for comparison. The patient’s physical examination results were unremarkable. His chest x-ray is shown in Figure 1 and a com...
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ژورنال
عنوان ژورنال: International Journal of Computing and Digital Systems
سال: 2022
ISSN: ['2210-142X', '2535-9886']
DOI: https://doi.org/10.12785/ijcds/120192