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Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
As a crucial role in the prognostic and health management of mechanical equipment, fault
diagnosis encounters serious challenges, such as the scarcity of fault samples, the high cost …
diagnosis encounters serious challenges, such as the scarcity of fault samples, the high cost …
DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
Hep-pred: hepatitis c staging prediction using fine gaussian svm
TM Ghazal - Computers, Materials & Continua, 2021 - research.skylineuniversity.ac.ae
Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …
CDC_Net: Multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X …
Abstract Coronavirus (COVID-19) has adversely harmed the healthcare system and
economy throughout the world. COVID-19 has similar symptoms as other chest disorders …
economy throughout the world. COVID-19 has similar symptoms as other chest disorders …
Blockchain technology in healthcare: A systematic review
Blockchain technology (BCT) has emerged in the last decade and added a lot of interest in
the healthcare sector. The purpose of this systematic literature review (SLR) is to explore the …
the healthcare sector. The purpose of this systematic literature review (SLR) is to explore the …
A comprehensive analysis of recent deep and federated-learning-based methodologies for brain tumor diagnosis
Brain tumors are a deadly disease with a high mortality rate. Early diagnosis of brain tumors
improves treatment, which results in a better survival rate for patients. Artificial intelligence …
improves treatment, which results in a better survival rate for patients. Artificial intelligence …
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment
and adoption of AI technologies remain limited in clinical practice. This paper describes the …
and adoption of AI technologies remain limited in clinical practice. This paper describes the …
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19,
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
[HTML][HTML] Federated and transfer learning methods for the classification of Melanoma and Nonmelanoma skin cancers: a prospective study
Skin cancer is considered a dangerous type of cancer with a high global mortality rate.
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …