AIMC Topic: Neural Networks, Computer

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Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration.

Studies in health technology and informatics Aug 30, 2024
This study aims to advance the field of digital wound care by developing and evaluating convolutional neural network (CNN) architectures for the automatic classification of maceration, a significant wound healing complication, in 458 annotated wound ...
Wound Healing Wounds and Injuries Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Multimodal ischemic stroke recurrence prediction model based on the capsule neural network and support vector machine.

Medicine Aug 30, 2024
Ischemic stroke (IS) has a high recurrence rate. Machine learning (ML) models have been developed based on single-modal biochemical tests, and imaging data have been used to predict stroke recurrence. However, the prediction accuracy of these models ...
Support Vector Machine Magnetic Resonance Imaging Deep Learning China Ischemic Stroke Recurrence Retrospective Studies Female Male Middle Aged Aged Humans Neural Networks, Computer
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Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach.

Database : the journal of biological databases and curation Aug 28, 2024
Biomedical relation extraction from scientific publications is a key task in biomedical natural language processing (NLP) and can facilitate the creation of large knowledge bases, enable more efficient knowledge discovery, and accelerate evidence syn...
Neural Networks, Computer Databases, Factual Deep Learning Natural Language Processing Data Mining
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[Research progress on colorectal cancer identification based on convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
Colorectal cancer (CRC) is a common malignant tumor that seriously threatens human health. CRC presents a formidable challenge in terms of accurate identification due to its indistinct boundaries. With the widespread adoption of convolutional neural ...
Image Processing, Computer-Assisted Humans Algorithms Neural Networks, Computer Colorectal Neoplasms
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[A lightweight recurrence prediction model for high grade serous ovarian cancer based on hierarchical transformer fusion metadata].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
High-grade serous ovarian cancer has a high degree of malignancy, and at detection, it is prone to infiltration of surrounding soft tissues, as well as metastasis to the peritoneum and lymph nodes, peritoneal seeding, and distant metastasis. Whether ...
Neural Networks, Computer Algorithms Cystadenocarcinoma, Serous Humans Ovarian Neoplasms Neoplasm Recurrence, Local Female Deep Learning Metadata
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[Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
Atrial fibrillation (AF) is a life-threatening heart condition, and its early detection and treatment have garnered significant attention from physicians in recent years. Traditional methods of detecting AF heavily rely on doctor's diagnosis based on...
Algorithms Deep Learning Signal Processing, Computer-Assisted Atrial Fibrillation Electrocardiography Neural Networks, Computer Machine Learning Humans Heart Rate
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[Early classification and recognition algorithm for sudden cardiac arrest based on limited electrocardiogram data trained with a two-stages convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life and health. However, clinical records of sudden cardiac death (SCD) electrocardiogram (ECG) data are extremely limited. This paper proposes an early ...
Heart Rate Death, Sudden, Cardiac Sensitivity and Specificity Deep Learning Signal Processing, Computer-Assisted Arrhythmias, Cardiac Neural Networks, Computer Electrocardiography Algorithms Humans
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Automated Assessment of Driver Distraction Using Multimodal Wearable Data and Squeeze-Excitation Networks.

Studies in health technology and informatics Aug 22, 2024
Driver distraction, crucial for road safety, can benefit from multimodal physiological signals assessment. However, fusion of heterogeneous data is highly challenging. In this study, we address this challenge by exploring 1D convolution neural networ...
Wearable Electronic Devices Humans Electrocardiography Neural Networks, Computer Distracted Driving
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Merging Biomedical Ontologies with BioSTransformers.

Studies in health technology and informatics Aug 22, 2024
Ontologies play a key role in representing and structuring domain knowledge. In the biomedical domain, the need for this type of representation is crucial for structuring, coding, and retrieving data. However, available ontologies do not encompass al...
Unified Medical Language System Semantics Biological Ontologies Humans Neural Networks, Computer
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On Entity Embeddings for Ordinal Features as Representation Learning in Recurrence Prediction of Urothelial Bladder Cancer.

Studies in health technology and informatics Aug 22, 2024
BACKGROUND: Urothelial Bladder Cancer (UBC) is a common cancer with a high risk of recurrence, which is influenced by the TNM classification, grading, age, and other factors. Recent studies demonstrate reliable and accurate recurrence prediction usin...
Humans Algorithms Neural Networks, Computer Urinary Bladder Neoplasms Machine Learning Neoplasm Recurrence, Local
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