AIMC Journal:
IEEE journal of biomedical and health informatics
Showing 611 to 620 of 1116 articles
Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation.
IEEE journal of biomedical and health informatics
Nov 5, 2021
The coronavirus disease 2019 (COVID-19) has become a severe worldwide health emergency and is spreading at a rapid rate. Segmentation of COVID lesions from computed tomography (CT) scans is of great importance for supervising disease progression and ...
Estimation of Apnea-Hypopnea Index Using Deep Learning On 3-D Craniofacial Scans.
IEEE journal of biomedical and health informatics
Nov 5, 2021
Obstructive sleep apnea (OSA) is characterized by decreased breathing events that occur through the night, with severity reported as the apnea-hypopnea index (AHI), which is associated with certain craniofacial features. In this study, we used data f...
KerNet: A Novel Deep Learning Approach for Keratoconus and Sub-Clinical Keratoconus Detection Based on Raw Data of the Pentacam HR System.
IEEE journal of biomedical and health informatics
Oct 6, 2021
Keratoconus is one of the most severe corneal diseases, which is difficult to detect at the early stage (i.e., sub-clinical keratoconus) and possibly results in vision loss. In this paper, we propose a novel end-to-end deep learning approach, called ...
An Accurate Deep Learning Model for Clinical Entity Recognition From Clinical Notes.
IEEE journal of biomedical and health informatics
Oct 5, 2021
The growing use of electronic health records in the medical domain results in generating a large amount of medical data that is stored in the form of clinical notes. These clinical notes are enriched with clinical entities like disease, treatment, te...
WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models.
IEEE journal of biomedical and health informatics
Oct 5, 2021
Biophysical protein-protein interactions perform dominant roles in the initiation and progression of many cancer-related pathways. A protein-protein interaction might play different roles in diverse cancer types. Hence, prioritizing the PPIs in each ...
The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors.
IEEE journal of biomedical and health informatics
Oct 5, 2021
Recently, the state-of-the-art performance in various sensor based human activity recognition (HAR) tasks have been acquired by deep learning, which can extract automatically features from raw data. In order to obtain the best accuracy, many static l...
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images.
IEEE journal of biomedical and health informatics
Oct 5, 2021
Health professionals extensively use Two-Dimensional (2D) Ultrasound (US) videos and images to visualize and measure internal organs for various purposes including evaluation of muscle architectural changes. US images can be used to measure abdominal...
Learn Fine-Grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images.
IEEE journal of biomedical and health informatics
Oct 5, 2021
Automatic and accurate detection of anatomical landmarks is an essential operation in medical image analysis with a multitude of applications. Recent deep learning methods have improved results by directly encoding the appearance of the captured anat...
Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation.
IEEE journal of biomedical and health informatics
Oct 5, 2021
Accurate segmentation of the polyps from colonoscopy images provides useful information for the diagnosis and treatment of colorectal cancer. Despite deep learning methods advance automatic polyp segmentation, their performance often degrades when ap...
Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers.
IEEE journal of biomedical and health informatics
Oct 5, 2021
B-mode ultrasound (BUS) imaging is a routine tool for diagnosis of liver cancers, while contrast-enhanced ultrasound (CEUS) provides additional information to BUS on the local tissue vascularization and perfusion to promote diagnostic accuracy. In th...
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