Article Versions Notes

Ali S, Hussain A, Bhattacharjee S, Athar A, Abdullah, Kim H-C. Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors. 2022; 22(24):9983. https://doi.org/10.3390/s22249983

Ali, Sikandar, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, and Hee-Cheol Kim. 2022. "Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model" Sensors 22, no. 24: 9983. https://doi.org/10.3390/s22249983

Ali, S., Hussain, A., Bhattacharjee, S., Athar, A., Abdullah, & Kim, H.-C. (2022). Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors, 22(24), 9983. https://doi.org/10.3390/s22249983