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Showing 821 to 830 of 1686 articles

Combining Image Features and Patient Metadata to Enhance Transfer Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
In this work, we compare the performance of six state-of-the-art deep neural networks in classification tasks when using only image features, to when these are combined with patient metadata. We utilise transfer learning from networks pretrained on I...
Humans Metadata Machine Learning Neural Networks, Computer
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Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Mild Cognitive Impairment (MCI) is the stage between the declining of normal brain function and the more serious decline of dementia. Alzheimer's disease (AD) is one of the leading forms of dementia. Although MCI does not always lead to AD, an early ...
Magnetic Resonance Imaging Deep Learning Alzheimer Disease Cognitive Dysfunction Humans Neuroimaging
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Data Enhancement and Deep Learning for Bone Age Assessment using The Standards of Skeletal Maturity of Hand and Wrist for Chinese.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Conventional methods for artificial age determination of skeletal bones have several problems, such as strong subjectivity, large random errors, complex evaluation processes, and long evaluation cycles. In this study, an automated age determination o...
Wrist Age Determination by Skeleton China Neural Networks, Computer Humans Deep Learning
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A Combined Deep Learning and Anatomical Inch Measurement Approach to Robotic Acupuncture Points Positioning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Acupuncture therapy is one of the cornerstones in traditional Chinese medicine. It requires rich experiences from Chinese medicine practitioner. However, repeatability among different practitioners are low. Meanwhile, there is a large variety of skin...
Deep Learning Humans Robotic Surgical Procedures Robotics Acupuncture Points Acupuncture Therapy
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Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
The increasing availability of electronic health records and administrative data and the adoption of computer-based technologies in healthcare have significantly focused on medical informatics. Sepsis is a time-critical condition with high mortality,...
Early Diagnosis Electronic Health Records Machine Learning Sepsis Humans Hospitalization
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Preliminary Text Analysis from Medical Records for TB Diagnosis Support.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Tuberculosis is an infectious disease that is spread through the air from one person to another and is one of the top ten causes of death in the world according to the World Health Organization. From biomedical engineering, decision support systems b...
Medical Records Tuberculosis Machine Learning Natural Language Processing Language Humans Artificial Intelligence
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Phenotypic Characterization of Chronic Kidney Patients Through Hierarchical Clustering.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Chronic kidney disease is a major public health problem around the world and this disease early diagnosis is still a great challenge as it is asymptomatic in its early stages. Thus, in order to identify variables capable of assisting CKD diagnosis an...
Humans Renal Insufficiency, Chronic Cluster Analysis Kidney Machine Learning Unsupervised Machine Learning
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Federated Learning via Conditional Mutual Learning for Alzheimer's Disease Classification on T1w MRI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Data-driven deep learning has been considered a promising method for building powerful models for medical data, which often requires a large amount of diverse data to be sufficiently effective. However, the expensive cost of collecting and the privac...
Magnetic Resonance Imaging Deep Learning Alzheimer Disease Privacy Humans Research Design
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Analysis of Language Embeddings for Classification of Unstructured Pathology Reports.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
A pathology report is one of the most significant medical documents providing interpretive insights into the visual appearance of the patient's biopsy sample. In digital pathology, high-resolution images of tissue samples are stored along with pathol...
Writing Language Humans Natural Language Processing
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Machine Learning Model Validation for Early Stage Studies with Small Sample Sizes.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
In early stage biomedical studies, small datasets are common due to the high cost and difficulty of sample collection with human subjects. This complicates the validation of machine learning models, which are best suited for large datasets. In this w...
Machine Learning Sample Size Humans
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