Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia

Edward Verenich, Alvaro Velasquez, Nazar Khan, Faraz Hussain 0001. Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia. In M. Arif Wani, Feng Luo 0001, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi, editors, 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020. pages 1402-1409, IEEE, 2020. [doi]

Abstract

Abstract is missing.