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For: Sannasi Chakravarthy SR, Bharanidharan N, Vinothini C, Vinoth Kumar V, Mahesh TR, Guluwadi S. Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images. BMC Med Imaging 2024;24:206. [PMID: 39123118 PMCID: PMC11313131 DOI: 10.1186/s12880-024-01394-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]  Open
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1
Kumar S, Bhowmik B. ADConv-Net: Advanced Deep Convolution Neural Network for COVID-19 Diagnostics Using Chest X-Ray and CT Images. SN COMPUTER SCIENCE 2025;6:423. [DOI: https:/doi.org/10.1007/s42979-025-03923-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 03/22/2025] [Indexed: 04/30/2025]
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