Browsing School of Biomedical Engineering by Subject "diagnostic test accuracy study"

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Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework

Dubey, Arun Kumar; Chabert, Gian Luca; Carriero, Alessandro; Pasche, Alessio; Danna, Pietro S. C.; Agarwal, Sushant; Mohanty, Lopamudra; Sharma, Neeraj; Yadav, Sarita; Jain, Achin; Kumar, Ashish; Kalra, Mannudeep K.; Sobel, David W.; Laird, John R.; Singh, Inder M.; Singh, Narpinder; Tsoulfas, George; Fouda, Mostafa M.; Alizad, Azra; Kitas, George D.; Khanna, Narendra N.; Viskovic, Klaudija; Kukuljan, Melita; Al-Maini, Mustafa; El-Baz, Ayman; Saba, Luca; Suri, Jasjit S.; ., Nillmani (Multidisciplinary Digital Publishing Institute (MDPI), 2023-06)

Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) ...
Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models

Nillmani; Jain, Pankaj K.; Sharma, Neeraj; Kalra, Mannudeep K; Viskovic, Klaudija; Saba, Luca; Suri, Jasjit S. (MDPI, 2022-03)

Background and Motivation: The novel coronavirus causing COVID-19 is exceptionally contagious, highly mutative, decimating human health and life, as well as the global economy, by consistent evolution of new pernicious ...

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