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Journal of X-Ray Science and Technology|February 25, 2022
Optimized chest X-ray image semantic segmentation networks for COVID-19 early detectionAnandbabu Gopatoti, P VijayalakshmiBiomedical Signal Processing and Control|June 13, 2022
CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizerAnandbabu Gopatoti, P VijayalakshmiBiomedical Signal Processing and Control|March 27, 2023
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray imagesAnandbabu Gopatoti, P VijayalakshmiConcurrency and Computation : Practice & Experience|October 17, 2022
Multi-texture features and optimized DeepNet for COVID-19 detection using chest x-ray imagesAnandbabu Gopatoti, Vijayalakshmi PJournal of X-Ray Science and Technology|April 12, 2024
DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray imagesAnandbabu Gopatoti, Ramya Jayakumar, Poornaiah Billa, et al.Journal of X-Ray Science and Technology|March 6, 2023
MCSC-Net: COVID-19 detection using deep-Q-neural network classification with RFNN-based hybrid whale optimizationGerard Deepak, M Madiajagan, Sanjeev Kulkarni, et al.Pageof 1