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What is Improved CNN for Pneumonia Detection about?

This paper proposes an improved convolutional neural network model for pneumonia detection on chest X-rays. The model guides the CNN to focus on disease regions by erasing pneumonia areas and using them as non-pneumonia samples. Lung region segmentation is also used to suppress background interference. Experimental results show the method is superior to state-of-the-art object detection models in accuracy and reducing false positives.

Author

Amílcar Cáceres

Language

EN