RNGU-NET: a novel efficient approach in Segmenting Tuberculosis using chest X-Ray images
Tuberculosis affects various tissues, including the lungs, kidneys, and brain. According to the medical report published by the World Health Organization (WHO) in 2020, approximately ten million people have been infected with tuberculosis. U-NET, a preferred method for detecting tuberculosis-like ca...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2024-02-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-1780.pdf |