AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 901 to 910 of 1118 articles

Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification.

IEEE journal of biomedical and health informatics Nov 13, 2018
Nowadays, there is an abundance of biomedical data, such as images and genetic sequences, among others. However, there is a lack of annotation to such volume of data, due to the high costs involved to perform this task. Thus, it is mandatory to devel...
Medical Informatics Knowledge Discovery Databases, Factual Neoplasms Diagnosis, Computer-Assisted Humans Machine Learning Algorithms
View on PubMed DOI

3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT.

IEEE journal of biomedical and health informatics Nov 9, 2018
Deep two-dimensional (2-D) convolutional neural networks (CNNs) have been remarkably successful in producing record-breaking results in a variety of computer vision tasks. It is possible to extend CNNs to three dimensions using 3-D kernels to make th...
Humans Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule Neural Networks, Computer Tomography, X-Ray Computed Lung Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation.

IEEE journal of biomedical and health informatics Nov 6, 2018
The size and shape of a nodule are the essential indicators of malignancy in lung cancer diagnosis. However, effectively capturing the nodule's structural information from CT scans in a computer-aided system is a challenging task. Unlike previous mod...
Lung ROC Curve Imaging, Three-Dimensional Neural Networks, Computer Lung Neoplasms Humans Algorithms Solitary Pulmonary Nodule Tomography, X-Ray Computed
View on PubMed DOI

Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network.

IEEE journal of biomedical and health informatics Nov 1, 2018
Quantitative analysis of the heart is extremely necessary and significant for detecting and diagnosing heart disease, yet there are still some challenges. In this study, we propose a new end-to-end segmentation-based deep multi-task regression learni...
Adult Middle Aged Deep Learning Aged Aged, 80 and over Young Adult Heart Ventricles Heart Diseases Image Interpretation, Computer-Assisted Adolescent Magnetic Resonance Imaging Regression Analysis Humans
View on PubMed DOI

Large-Scale Multi-Class Image-Based Cell Classification With Deep Learning.

IEEE journal of biomedical and health informatics Oct 31, 2018
Recent advances in ultra-high-throughput microscopy have enabled a new generation of cell classification methodologies using image-based cell phenotypes alone. In contrast to current single-cell analysis techniques that rely solely on slow and costly...
Microscopy Deep Learning Cells Humans Image Processing, Computer-Assisted Cytological Techniques Algorithms Databases, Factual
View on PubMed DOI

Simultaneous Cell Detection and Classification in Bone Marrow Histology Images.

IEEE journal of biomedical and health informatics Oct 31, 2018
Recently, deep learning frameworks have been shown to be successful and efficient in processing digital histology images for various detection and classification tasks. Among these tasks, cell detection and classification are key steps in many comput...
Deep Learning Bone Marrow Cells Image Interpretation, Computer-Assisted Humans Biopsy Histocytological Preparation Techniques Algorithms Bone Marrow
View on PubMed DOI

Intra-Slice Motion Correction of Intravascular OCT Images Using Deep Features.

IEEE journal of biomedical and health informatics Oct 31, 2018
Intra-slice motion correction is an important step for analyzing volume variations and pathological formations from intravascular imaging. Optical coherence tomography (OCT) has been recently introduced for intravascular imaging and assessment of cor...
Ultrasonography, Interventional Coronary Vessels Humans Image Processing, Computer-Assisted Algorithms Tomography, Optical Coherence Deep Learning Movement
View on PubMed DOI

A Machine-Learning Approach for Detection and Quantification of QRS Fragmentation.

IEEE journal of biomedical and health informatics Oct 29, 2018
OBJECTIVE: Fragmented QRS (fQRS) is an accessible biomarker and indication of myocardial scarring that can be detected from the electrocardiogram (ECG). Nowadays, fQRS scoring is done on a visual basis, which is time consuming and leads to subjective...
Databases, Factual Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Humans Machine Learning Algorithms
View on PubMed DOI

A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction.

IEEE journal of biomedical and health informatics Oct 24, 2018
Mismatch negativity (MMN) is a component of the event-related potential (ERP) that is elicited through an odd-ball paradigm. The existence of the MMN in a coma patient has a good correlation with coma emergence; however, this component can be difficu...
Evoked Potentials, Auditory Humans Male Coma Machine Learning Prognosis Electroencephalography Signal Processing, Computer-Assisted Young Adult Adult
View on PubMed DOI

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.

IEEE journal of biomedical and health informatics Oct 19, 2018
Skeletal bone age assessment is a common clinical practice to investigate endocrinology, and genetic and growth disorders of children. However, clinical interpretation and bone age analyses are time-consuming, labor intensive, and often subject to in...
Image Interpretation, Computer-Assisted Child Development Hand Bones Deep Learning Adolescent Child Female Male Neural Networks, Computer Humans Databases, Factual Tomography, X-Ray Computed
View on PubMed DOI
Popular Topics
Popular Journals