Research Article: Generative and Discriminative Learning for Lung X-Ray Analysis Based on Probabilistic Component Analysis
Introduction:
Recent developments in deep-learning techniques have led to significant progress in the field of imaging, including segmentation and classification. The analysis of medical imaging, such as X-ray imaging of the lungs, is one of the most popular deep-learning applications. Deep learning can automatically extract features from data, whereas conventional computer vision methods depend on manually created features. Deep learning for lung X-ray interpretation still faces obstacles such as the scarcity of labelled data…
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