Vision transformers in medical computer vision—A contemplative retrospection
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 …
contained within images, have evolved as one of the most contemporary and dominant …
Conventional and novel diagnostic tools for the diagnosis of emerging SARS-CoV-2 variants
Accurate identification at an early stage of infection is critical for effective care of any
infectious disease. The “coronavirus disease 2019 (COVID-19)” outbreak, caused by the …
infectious disease. The “coronavirus disease 2019 (COVID-19)” outbreak, caused by the …
Deepsign: Sign language detection and recognition using deep learning
The predominant means of communication is speech; however, there are persons whose
speaking or hearing abilities are impaired. Communication presents a significant barrier for …
speaking or hearing abilities are impaired. Communication presents a significant barrier for …
Design and analysis of a deep learning ensemble framework model for the detection of COVID-19 and pneumonia using large-scale CT scan and X-ray image …
X Xue, S Chinnaperumal, GM Abdulsahib, RR Manyam… - Bioengineering, 2023 - mdpi.com
Recently, various methods have been developed to identify COVID-19 cases, such as PCR
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
Segmentation-based classification deep learning model embedded with explainable AI for COVID-19 detection in chest X-ray scans
Background and Motivation: 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 …
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
[HTML][HTML] Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning
Combating the COVID-19 pandemic has emerged as one of the most promising issues in
global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right …
global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right …
An efficient deep learning model to detect COVID-19 using chest X-ray images
S Chakraborty, B Murali, AK Mitra - International Journal of Environmental …, 2022 - mdpi.com
The tragic pandemic of COVID-19, due to the Severe Acute Respiratory Syndrome
coronavirus-2 or SARS-CoV-2, has shaken the entire world, and has significantly disrupted …
coronavirus-2 or SARS-CoV-2, has shaken the entire world, and has significantly disrupted …
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Abstract The novel coronavirus (COVID-19), has undoubtedly imprinted our lives with its
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
Objective To develop a two-step machine learning (ML) based model to diagnose and
predict involvement of lungs in COVID-19 and non COVID-19 pneumonia patients using CT …
predict involvement of lungs in COVID-19 and non COVID-19 pneumonia patients using CT …
LSTM-autoencoder for vibration anomaly detection in vertical carousel storage and retrieval system (VCSRS)
JS Do, AB Kareem, JW Hur - Sensors, 2023 - mdpi.com
Industry 5.0, also known as the “smart factory”, is an evolution of manufacturing technology
that utilizes advanced data analytics and machine learning techniques to optimize …
that utilizes advanced data analytics and machine learning techniques to optimize …