Vision transformers in medical computer vision—A contemplative retrospection

A Parvaiz, MA Khalid, R Zafar, H Ameer, M Ali… - … Applications of Artificial …, 2023 - Elsevier
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …

Review on the evaluation and development of artificial intelligence for COVID-19 containment

MM Hasan, MU Islam, MJ Sadeq, WK Fung, J Uddin - Sensors, 2023 - mdpi.com
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …

[HTML][HTML] COVID-19 detection based on lung CT scan using deep learning techniques

SV Kogilavani, J Prabhu, R Sandhiya… - … Methods in Medicine, 2022 - ncbi.nlm.nih.gov
SARS-CoV-2 is a novel virus, responsible for causing the COVID-19 pandemic that has
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …

Cross-level feature aggregation network for polyp segmentation

T Zhou, Y Zhou, K He, C Gong, J Yang, H Fu, D Shen - Pattern Recognition, 2023 - Elsevier
Accurate segmentation of polyps from colonoscopy images plays a critical role in the
diagnosis and cure of colorectal cancer. Although effectiveness has been achieved in the …

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi, F Shi… - Pattern recognition, 2021 - Elsevier
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …

Detection of COVID-19 from speech signal using bio-inspired based cepstral features

TK Dash, S Mishra, G Panda, SC Satapathy - Pattern Recognition, 2021 - Elsevier
The early detection of COVID-19 is a challenging task due to its deadly spreading nature
and existing fear in minds of people. Speech-based detection can be one of the safest tools …

AI-Based human audio processing for COVID-19: A comprehensive overview

G Deshpande, A Batliner, BW Schuller - Pattern recognition, 2022 - Elsevier
Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …

Role of artificial intelligence in COVID-19 detection

A Gudigar, U Raghavendra, S Nayak, CP Ooi… - Sensors, 2021 - mdpi.com
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …

Clinical and laboratory approach to diagnose COVID-19 using machine learning

K Chadaga, C Chakraborty, S Prabhu… - Interdisciplinary …, 2022 - Springer
Abstract Coronavirus 2 (SARS-CoV-2), often known by the name COVID-19, is a type of
acute respiratory syndrome that has had a significant influence on both economy and health …

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

HR Roth, Z Xu, C Tor-Díez, RS Jacob, J Zember… - Medical image …, 2022 - Elsevier
Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19
lesions in chest computed tomography (CT) might play an important role in the monitoring …