A review on explainable artificial intelligence for healthcare: why, how, and when?
S Bharati, MRH Mondal… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …
medicine. Concerns have been raised about the explainability of the decisions that are …
Federated learning: Applications, challenges and future directions
Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …
efforts of several clients to solve the issues of machine learning. This setting allows the …
[HTML][HTML] Hybrid deep learning for detecting lung diseases from X-ray images
Lung disease is common throughout the world. These include chronic obstructive pulmonary
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
Breast cancer is a common cancer in women. Early detection of breast cancer in particular
and cancer, in general, can considerably increase the survival rate of women, and it can be …
and cancer, in general, can considerably increase the survival rate of women, and it can be …
CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images
This paper focuses on the application of deep learning (DL) based model in the analysis of
novel coronavirus disease (COVID-19) from X-ray images. The novelty of this work is in the …
novel coronavirus disease (COVID-19) from X-ray images. The novelty of this work is in the …
Diagnosis of COVID-19 using machine learning and deep learning: a review
Background: This paper provides a systematic review of the application of Artificial
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …
Medical imaging with deep learning for COVID-19 diagnosis: a comprehensive review
The outbreak of novel coronavirus disease (COVID-19) has claimed millions of lives and has
affected all aspects of human life. This paper focuses on the application of deep learning …
affected all aspects of human life. This paper focuses on the application of deep learning …
CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images
This paper focuses on the application of deep learning (DL) in the diagnosis of coronavirus
disease (COVID-19). The novelty of this work is in the introduction of optimized …
disease (COVID-19). The novelty of this work is in the introduction of optimized …
An overview of vaccine development for COVID-19
SH Shahcheraghi, J Ayatollahi, AAA Aljabali… - Therapeutic …, 2021 - Taylor & Francis
The COVID-19 pandemic continues to endanger world health and the economy. The
causative SARS-CoV-2 coronavirus has a unique replication system. The end point of the …
causative SARS-CoV-2 coronavirus has a unique replication system. The end point of the …
[HTML][HTML] Sustainable and intelligent time-series models for epidemic disease forecasting and analysis
There is an increasing risk of outbreaks escalating into epidemics, despite huge advances in
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …