AIMC Journal:
Computer methods and programs in biomedicine

Showing 261 to 270 of 844 articles

Symbolic knowledge extraction for explainable nutritional recommenders.

Computer methods and programs in biomedicine Apr 5, 2023
This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A trade-off among (potentially) conflictual requirements must...
Machine Learning Neural Networks, Computer Knowledge Bases Artificial Intelligence Algorithms
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Comparison of deep learning models for digital H&E staining from unpaired label-free multispectral microscopy images.

Computer methods and programs in biomedicine Apr 5, 2023
BACKGROUND AND OBJECTIVE: This paper presents the quantitative comparison of three generative models of digital staining, also known as virtual staining, in H&E modality (i.e., Hematoxylin and Eosin) that are applied to 5 types of breast tissue. More...
Image Processing, Computer-Assisted Staining and Labeling Deep Learning Eosine Yellowish-(YS) Microscopy
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Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images.

Computer methods and programs in biomedicine Apr 1, 2023
BACKGROUND AND OBJECTIVE: The success of data-driven deep learning for histopathology images often depends on high-quality training sets and fine-grained annotations. However, as tumors are heterogeneous and annotations are expensive, unsupervised le...
Unsupervised Machine Learning Automation
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Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB).

Computer methods and programs in biomedicine Mar 28, 2023
Manual screening of Ziehl-Neelsen (ZN)-stained slides that are negative or contain rare acid-fast mycobacteria (AFB) is labor-intensive and requires repetitive refocusing to visualize AFB candidates under the microscope. Whole slide image (WSI) scann...
Microscopy Artificial Intelligence
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Predicting gene and protein expression levels from DNA and protein sequences with Perceiver.

Computer methods and programs in biomedicine Mar 22, 2023
BACKGROUND AND OBJECTIVE: The functions of an organism and its biological processes result from the expression of genes and proteins. Therefore quantifying and predicting mRNA and protein levels is a crucial aspect of scientific research. Concerning ...
Proteins RNA, Messenger DNA Algorithms Neural Networks, Computer Mice Animals
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Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs.

Computer methods and programs in biomedicine Mar 22, 2023
BACKGROUND AND OBJECTIVES: Bedside chest radiographs (CXRs) are challenging to interpret but important for monitoring cardiothoracic disease and invasive therapy devices in critical care and emergency medicine. Taking surrounding anatomy into account...
Thorax Image Processing, Computer-Assisted Artificial Intelligence Deep Learning Humans Neural Networks, Computer
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CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.

Computer methods and programs in biomedicine Mar 18, 2023
BACKGROUND AND PURPOSE: COVID-19, which emerged in Wuhan (China), is one of the deadliest and fastest-spreading pandemics as of the end of 2019. According to the World Health Organization (WHO), there are more than 100 million infectious cases worldw...
Fibrin Fibrinogen Degradation Products Artificial Intelligence Humans COVID-19 Algorithms
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Integrating machine learning with linguistic features: A universal method for extraction and normalization of temporal expressions in Chinese texts.

Computer methods and programs in biomedicine Mar 11, 2023
BACKGROUND AND OBJECTIVE: With the rapid development of information dissemination technology, the amount of events information contained in massive texts now far exceeds the intuitive cognition of humans, and it is hard to understand the progress of ...
Linguistics Natural Language Processing Humans Electronic Health Records Machine Learning
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Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement.

Computer methods and programs in biomedicine Mar 5, 2023
BACKGROUND AND OBJECTIVE: MRI is considered the gold standard for diagnosing anterior disc displacement (ADD), the most common temporomandibular joint (TMJ) disorder. However, even highly trained clinicians find it difficult to integrate the dynamic ...
Temporomandibular Joint Temporomandibular Joint Disc Temporomandibular Joint Disorders Deep Learning Humans Retrospective Studies Artificial Intelligence Magnetic Resonance Imaging Decision Support Systems, Clinical
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Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning.

Computer methods and programs in biomedicine Mar 5, 2023
BACKGROUND AND OBJECTIVES: Radiomics and deep learning are two popular technologies used to develop computer-aided detection and diagnosis schemes for analysing medical images. This study aimed to compare the effectiveness of radiomics, single-task d...
Humans ROC Curve Magnetic Resonance Imaging Deep Learning Retrospective Studies Muscles Urinary Bladder Neoplasms
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