Browsing NTNU Open by Journals "Diagnostics (Basel)"
Now showing items 1-14 of 14
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BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images
(Journal article; Peer reviewed, 2023)The early detection of breast cancer using mammogram images is critical for lowering women’s mortality rates and allowing for proper treatment. Deep learning techniques are commonly used for feature extraction and have ... -
Cardiac exosomes in ischemic heart disease—A narrative review
(Peer reviewed; Journal article, 2021)Ischemic heart disease (IHD) is the primary cause of death globally. IHD is associated with the disruption of blood supply to the heart muscles, which often results in myocardial infarction (MI) that further may progress ... -
A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering
(Journal article; Peer reviewed, 2023)An important part of diagnostics is to gain insight into properties that characterize a disease. Machine learning has been used for this purpose, for instance, to identify biomarkers in genomics. However, when patient data ... -
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
(Peer reviewed; Journal article, 2022)Efficient skin cancer detection using images is a challenging task in the healthcare domain. In today’s medical practices, skin cancer detection is a time-consuming procedure that may lead to a patient’s death in later ... -
Evaluating the Impact of High Intensity Interval Training on Axial Psoriatic Arthritis Based on MR Images
(Journal article; Peer reviewed, 2022)High intensity interval training (HIIT) has been shown to benefit patients with psoriatic arthritis (PsA). However, magnetic resonance (MR) imaging has uncovered bone marrow edema (BME) in healthy volunteers after vigorous ... -
A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA
(Peer reviewed; Journal article, 2023)We developed a framework to detect and grade knee RA using digital X-radiation images and used it to demonstrate the ability of deep learning approaches to detect knee RA using a consensus-based decision (CBD) grading ... -
ISIDOG recommendations concerning COVID-19 and pregnancy
(Peer reviewed; Journal article, 2020)Providing guidelines to health care workers during a period of rapidly evolving viral pandemic infections is not an easy task, but it is extremely necessary in order to coordinate appropriate action so that all patients ... -
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection
(Peer reviewed; Journal article, 2023)Cancer is one of the leading significant causes of illness and chronic disease worldwide. Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising prevalence. The considerable death rate ... -
A Proposed Framework for Early Prediction of Schistosomiasis
(Peer reviewed; Journal article, 2022)Schistosomiasis is a neglected tropical disease that continues to be a leading cause of illness and mortality around the globe. The causing parasites are affixed to the skin through defiled water and enter the human body. ... -
A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI
(Journal article; Peer reviewed, 2020)Computer-aided detection and diagnosis (CAD) systems have the potential to improve robustness and efficiency compared to traditional radiological reading of magnetic resonance imaging (MRI). Fully automated segmentation ... -
The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images
(Peer reviewed; Journal article, 2021)Volume of interest segmentation is an essential step in computer-aided detection and diagnosis (CAD) systems. Deep learning (DL)-based methods provide good performance for prostate segmentation, but little is known about ... -
SCDet: A Robust Approach for the Detection of Skin Lesions
(Journal article; Peer reviewed, 2023)Red, blue, white, pink, or black spots with irregular borders and small lesions on the skin are known as skin cancer that is categorized into two types: benign and malignant. Skin cancer can lead to death in advanced stages, ... -
SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm
(Peer reviewed; Journal article, 2023)Background: Using artificial intelligence (AI) with the concept of a deep learning-based automated computer-aided diagnosis (CAD) system has shown improved performance for skin lesion classification. Although deep convolutional ... -
Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis
(Peer reviewed; Journal article, 2023)Deep neural networks are complex machine learning models that have shown promising results in analyzing high-dimensional data such as those collected from medical examinations. Such models have the potential to provide ...