Blar i Institutt for datateknologi og informatikk på tidsskrift "Scientific Reports"
Viser treff 1-16 av 16
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Automatic segmentation tool for 3D digital rocks by deep learning
(Peer reviewed; Journal article, 2021)Obtaining an accurate segmentation of images obtained by computed microtomography (micro-CT) techniques is a non-trivial process due to the wide range of noise types and artifacts present in these images. Current methodologies ... -
Development of risk models of incident hypertension using machine learning on the HUNT study data
(Journal article; Peer reviewed, 2024)In this study, we aimed to create an 11-year hypertension risk prediction model using data from the Trøndelag Health (HUNT) Study in Norway, involving 17 852 individuals (20–85 years; 38% male; 24% incidence rate) with ... -
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images
(Peer reviewed; Journal article, 2023)Wireless Capsule Endoscopy (WCE) is being increasingly used as an alternative imaging modality for complete and non-invasive screening of the gastrointestinal tract. Although this is advantageous in reducing unnecessary ... -
Forensic analysis of beverage stains using hyperspectral imaging
(Peer reviewed; Journal article, 2021)Documentation and analysis of crime scene evidences are of great importance in any forensic investigation. In this paper, we present the potential of hyperspectral imaging (HSI) to detect and analyze the beverage stains ... -
From labels to priors in capsule endoscopy: a prior guided approach for improving generalization with few labels
(Peer reviewed; Journal article, 2022)The lack of generalizability of deep learning approaches for the automated diagnosis of pathologies in Wireless Capsule Endoscopy (WCE) has prevented any significant advantages from trickling down to real clinical practices. ... -
Gene expression in blood reflects smoking exposure among cancer-free women in the Norwegian Women and Cancer (NOWAC) postgenome cohort
(Journal article; Peer reviewed, 2021)Active smoking has been linked to modulated gene expression in blood. However, there is a need for a more thorough understanding of how quantitative measures of smoking exposure relate to differentially expressed genes ... -
Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning
(Journal article; Peer reviewed, 2021)Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based ... -
Joint changes in RNA, RNA polymerase II, and promoter activity through the cell cycle identify non-coding RNAs involved in proliferation
(Peer reviewed; Journal article, 2021)Proper regulation of the cell cycle is necessary for normal growth and development of all organisms. Conversely, altered cell cycle regulation often underlies proliferative diseases such as cancer. Long non-coding RNAs ... -
On evaluation metrics for medical applications of artificial intelligence
(Peer reviewed; Journal article, 2022)Clinicians and software developers need to understand how proposed machine learning (ML) models could improve patient care. No single metric captures all the desirable properties of a model, which is why several metrics ... -
Predicting an unstable tear film through artificial intelligence
(Peer reviewed; Journal article, 2022)Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. ... -
The effect of intraoperative imaging on surgical navigation for laparoscopic liver resection surgery
(Journal article; Peer reviewed, 2019)Conventional surgical navigation systems rely on preoperative imaging to provide guidance. In laparoscopic liver surgery, insufflation of the abdomen (pneumoperitoneum) can cause deformations on the liver, introducing ... -
Towards reliable IoT communication and robust security: investigating trusted schemes in the internet of medical things using blockchain
(Peer reviewed; Journal article, 2023)The Internet of Things (IoT) is evolving in various sectors such as industries, healthcare, smart homes, and societies. Billions and trillions of IoT devices are used in e-health systems, known as the Internet of Medical ... -
Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
(Peer reviewed; Journal article, 2023)Retinal vessel segmentation is a critical process in the automated inquiry of fundus images to screen and diagnose diabetic retinopathy. It is a widespread complication of diabetes that causes sudden vision loss. Automated ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Peer reviewed; Journal article, 2023)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Peer reviewed; Journal article, 2023)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ... -
Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography
(Journal article; Peer reviewed, 2022)