Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans

Nillmani, null;Sharma, Neeraj;Saba, Luca;Khanna, Narendra N;Kalra, Mannudeep K;Fouda, Mostafa M;Suri, Jasjit S

2022-01-01

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Abstract

COVID-19 has resulted in a massive loss of life during the last two years. The current imaging-based diagnostic methods for COVID-19 detection in multiclass pneumonia-type chest X-rays are not so successful in clinical practice due to high error rates. Our hypothesis states that if we can have a segmentation-based classification error rate <5%, typically adopted for 510 (K) regulatory purposes, the diagnostic system can be adapted in clinical settings.