[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …
diagnosis with their outstanding image classification performance. In spite of the outstanding …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Explainable vision transformers and radiomics for covid-19 detection in chest x-rays
M Chetoui, MA Akhloufi - Journal of Clinical Medicine, 2022 - mdpi.com
The rapid spread of COVID-19 across the globe since its emergence has pushed many
countries' healthcare systems to the verge of collapse. To restrict the spread of the disease …
countries' healthcare systems to the verge of collapse. To restrict the spread of the disease …
Explainable COVID-19 detection on chest X-rays using an end-to-end deep convolutional neural network architecture
M Chetoui, MA Akhloufi, B Yousefi… - Big Data and Cognitive …, 2021 - mdpi.com
The coronavirus pandemic is spreading around the world. Medical imaging modalities such
as radiography play an important role in the fight against COVID-19. Deep learning (DL) …
as radiography play an important role in the fight against COVID-19. Deep learning (DL) …
Explainable COVID-19 detection based on chest x-rays using an end-to-end RegNet architecture
M Chetoui, MA Akhloufi, EM Bouattane, J Abdulnour… - Viruses, 2023 - mdpi.com
COVID-19, which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2), is one of the worst pandemics in recent history. The identification of patients …
CoV-2), is one of the worst pandemics in recent history. The identification of patients …
Explainable Artificial Intelligence (XAI) for deep learning based medical imaging classification
Recently, deep learning has gained significant attention as a noteworthy division of artificial
intelligence (AI) due to its high accuracy and versatile applications. However, one of the …
intelligence (AI) due to its high accuracy and versatile applications. However, one of the …
A perceptual encryption-based image communication system for deep learning-based tuberculosis diagnosis using healthcare cloud services
Block-based perceptual encryption (PE) algorithms are becoming popular for multimedia
data protection because of their low computational demands and format-compliancy with the …
data protection because of their low computational demands and format-compliancy with the …
Ensemble learning for multi-class COVID-19 detection from big data
Coronavirus disease (COVID-19), which has caused a global pandemic, continues to have
severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia …
severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia …