COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

Background: The previous COVID-19 lung diagnosis system lacks both scientific validation and the role of explainable artificial intelligence (AI) for understanding lesion localization. This study presents a cloud-based explainable AI, the “COVLIAS 2.0-cXAI” system using four kinds of class activatio...

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Detalles Bibliográficos
Autores principales: Suri, Jasjit S., Agarwal, Sushant, Chabert, Gian Luca, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro S. C., Saba, Luca, Mehmedović, Armin, Faa, Gavino, Singh, Inder M., Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Khanna, Narendra N., Mavrogeni, Sophie, Laird, John R., Pareek, Gyan, Miner, Martin, Sobel, David W., Balestrieri, Antonella, Sfikakis, Petros P., Tsoulfas, George, Protogerou, Athanasios D., Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D., Teji, Jagjit S., Al-Maini, Mustafa, Dhanjil, Surinder K., Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R., Nagy, Ferenc, Ruzsa, Zoltan, Fouda, Mostafa M., Naidu, Subbaram, Viskovic, Klaudija, Kalra, Mannudeep K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221733/
https://www.ncbi.nlm.nih.gov/pubmed/35741292
http://dx.doi.org/10.3390/diagnostics12061482

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