An Automated Approach for the Identification of TB Images Enhanced by Non-uniform Illumination Correction
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-6141-2_14
Reference50 articles.
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5. Shah MI, Mishra S, Yadav VK, Chauhan A, Sarkar M, Sharma SK, Rout C (2017) Ziehl–Neelsen sputum smear microscopy image database: a resource to facilitate automated bacilli detection for tuberculosis diagnosis. J Med Imag 4(2):027503
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1. Deep and Hybrid Learning Technique for Early Detection of Tuberculosis Based on X-ray Images Using Feature Fusion;Applied Sciences;2022-07-14
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