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 …
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 …
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) for medicine and healthcare, the
deployment and adoption of AI technologies remain limited in real-world clinical practice. In …
deployment and adoption of AI technologies remain limited in real-world clinical practice. In …
[HTML][HTML] Towards automated eye cancer classification via VGG and ResNet networks using transfer learning
DF Santos-Bustos, BM Nguyen, HE Espitia - Engineering Science and …, 2022 - Elsevier
Complex tasks such as disease diagnosis or semantic segmentation are now becoming
easier to tackle in part due to increasing advances in computing and storage. This study …
easier to tackle in part due to increasing advances in computing and storage. This study …
Untangling computer-aided diagnostic system for screening diabetic retinopathy based on deep learning techniques
Diabetic Retinopathy (DR) is a predominant cause of visual impairment and loss.
Approximately 285 million worldwide population is affected with diabetes, and one-third of …
Approximately 285 million worldwide population is affected with diabetes, and one-third of …