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Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism. (arXiv:2211.08006v1 [eess.IV])
cs.LG updates on arXiv.org arxiv.org
A chest X-ray is one of the most widely available radiological examinations
for diagnosing and detecting various lung illnesses. The National Institutes of
Health (NIH) provides an extensive database, ChestX-ray8 and ChestXray14, to
help establish a deep learning community for analysing and predicting lung
diseases. ChestX-ray14 consists of 112,120 frontal-view X-ray images of 30,805
distinct patients with text-mined fourteen disease image labels, where each
image has multiple labels and has been utilised in numerous research in the
past. To our …
arxiv attention classification fusion head multi-head multi-head attention outlier ray x-ray