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Advanced Lung Disease Detection: CBAM-Augmented, Lightweight EfficientNetB2 with Visual Insights.
Godbin AB, Jasmine SG. Godbin AB, et al. Among authors: jasmine sg. Curr Med Imaging. 2024;20:e15734056344651. doi: 10.2174/0115734056344651241023070250. Curr Med Imaging. 2024. PMID: 39568109
METHODS: The EfficientNetB2 model was customized by incorporating Squeeze-and-Excitation (SE) blocks and the Convolutional Block Attention Module (CBAM) to improve the model's attention mechanisms. Additional convolutional layers were added for improved feature extraction, …
METHODS: The EfficientNetB2 model was customized by incorporating Squeeze-and-Excitation (SE) blocks and the Convolutional Block Attention M …
Screening of COVID-19 Based on GLCM Features from CT Images Using Machine Learning Classifiers.
Godbin AB, Jasmine SG. Godbin AB, et al. Among authors: jasmine sg. SN Comput Sci. 2023;4(2):133. doi: 10.1007/s42979-022-01583-2. Epub 2022 Dec 29. SN Comput Sci. 2023. PMID: 36593973 Free PMC article.
Random Forest and SVM were the best classification methods for GLCM features with an overall accuracy of 99.94%. The network's performance was assessed in terms of sensitivity, accuracy, and specificity....
Random Forest and SVM were the best classification methods for GLCM features with an overall accuracy of 99.94%. The network's perfor …