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Radiological examination of chest CT is an effective method for screening COVID-19 cases. In this work, we overcome three challenges in the automation of ...
The three techniques are complemen- tary and are all based on utilizing the heatmaps produced by the Class Activation Mapping. (CAM) explainability method.
Abstract: Radiological examination of chest CT is an effective method for screening COVID-19 cases. In this work, we overcome three challenges in the ...
The three techniques are complementary and are all based on utilizing the heatmaps produced by the Class Activation Mapping (CAM) explainability method.
Feb 28, 2022 · Radiological examination of chest CT is an effective method for screening COVID-19 cases. In this work, we overcome three challenges in the ...
Radiological examination of chest CT is an effective method for screening COVID-19 cases. In this work, we overcome three challenges in the automation of ...
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This review discusses several aspects of explainable and interpretable AI as it pertains to the evaluation of COVID‐19 disease and it can restore trust in AI ...
Of major importance is research on domain adaptation, fairness and explainability in AI-enabled medical image analysis. This research constitutes the main ...
Nov 10, 2023 · The results demonstrated the potential of AI to assist in the rapid evaluation of CT scans for COVID-19 diagnosis [24]. In a study by Li et ...
Explainability Guided COVID-19 Detection in CT Scans. from www.nature.com
Oct 23, 2024 · Our research integrates multiple CNN models with explainable AI techniques, ensuring model interpretability before ensemble construction.