AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 1081 to 1090 of 1118 articles

Deep Learning-Based Automated Measurement of Cervical Length in Transvaginal Ultrasound Images of Pregnant Women.

IEEE journal of biomedical and health informatics
Cervical length (CL) measurement using transvaginal ultrasound is an effective screening tool to assess the risk of preterm birth. An adequate assessment of CL is crucial, however, manual sonographic CL measurement is highly operator-dependent and cu...

SNER: Semi-Supervised Named Entity Recognition for Large Volume of Diabetes Data.

IEEE journal of biomedical and health informatics
The medical literature and records on diabetes provide crucial resources for diabetes prevention and treatment. However, extracting entities from these textual diabetes data is crucial but challenging. Named entity recognition (NER) - an important co...

GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification.

IEEE journal of biomedical and health informatics
A major challenge in applying deep learning to medical imaging is the paucity of annotated data. This study explores the use of synthetic images for data augmentation to address the challenge of limited annotated data in colonoscopy lesion classifica...

MCD-LightGBM System for Intelligent Analyzing Heterogeneous Clinical Drug Therapeutic Effects.

IEEE journal of biomedical and health informatics
Causal effect estimation of individual heterogeneity is a core issue in the field of causal inference, and its application in medicine poses an active and challenging problem. In high-risk decision-making domain such as healthcare, inappropriate trea...

MSMTSeg: Multi-Stained Multi-Tissue Segmentation of Kidney Histology Images via Generative Self-Supervised Meta-Learning Framework.

IEEE journal of biomedical and health informatics
Accurately diagnosing chronic kidney disease requires pathologists to assess the structure of multiple tissues under different stains, a process that is time-consuming and labor-intensive. Current AI-based methods for automatic structure assessment, ...

Ultra-Low Power Analog Folded Neural Network for Cardiovascular Health Monitoring.

IEEE journal of biomedical and health informatics
Wearable sensors are increasingly used for continuous health monitoring, but their small size limits battery capacity, affecting user experience and monitoring capabilities. To overcome this, we introduce an ultra-low power analog Folded Neural Netwo...

Optimizing Pix2Pix GAN With Attention Mechanisms for AI-Driven Polyp Segmentation in IoMT-Enabled Smart Healthcare.

IEEE journal of biomedical and health informatics
This paper introduces an innovative approach for automated polyp segmentation in colonoscopy images, deploying an enhanced Pix2Pix Generative Adversarial Network (GAN) equipped with an integrated attention mechanism in the discriminator. Addressing p...

Generative AI-Based Data Completeness Augmentation Algorithm for Data-Driven Smart Healthcare.

IEEE journal of biomedical and health informatics
In the decade, artificial intelligence has achieved great popularity and applications in medicine and healthcare. Various AI-based algorithms have shown astonishing performance. However, in various data-driven smart healthcare algorithms, the problem...

Multi-Gate Mixture of Multi-View Graph Contrastive Learning on Electronic Health Record.

IEEE journal of biomedical and health informatics
Electronic Health Record (EHR) is the digital form of patient visits that contains various medical data, including diagnosis, treatment, and lab events. Representation learning of EHR with deep learning methods has been beneficial for patient-related...

A GAN Guided Parallel CNN and Transformer Network for EEG Denoising.

IEEE journal of biomedical and health informatics
Electroencephalography (EEG) signals are often contaminated with various physiological artifacts, seriously affecting the quality of subsequent analysis. Therefore, removing artifacts is an essential step in practice. As of now, deep learning-based E...