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   Articles with "automatic classification" as a keyword



AutoPVS1: An automatic classification tool for PVS1 interpretation of null variants

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recommendations! Published in 2020 at "Human Mutation"

DOI: 10.1002/humu.24051

Abstract: Null variants are prevalent within the human genome, and their accurate interpretation is critical for clinical management. In 2018, the ClinGen Sequence Variant Interpretation (SVI) Working Group refined the only criterion with a very strong… read more here.

Keywords: automatic classification; interpretation; pvs1; null variants ... See more keywords

Automatic Classification of Hepatic Cystic Echinococcosis Using Ultrasound Images and Deep Learning

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recommendations! Published in 2021 at "Journal of Ultrasound in Medicine"

DOI: 10.1002/jum.15691

Abstract: Hepatic cystic echinococcosis is the main form of hepatic echinococcosis, which is a life‐threatening liver disease caused by parasites that requires a precise diagnosis and proper treatment. read more here.

Keywords: cystic echinococcosis; automatic classification; echinococcosis; classification hepatic ... See more keywords

Automatic classification of informative laryngoscopic images using deep learning

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recommendations! Published in 2022 at "Laryngoscope Investigative Otolaryngology"

DOI: 10.1002/lio2.754

Abstract: This study aims to develop and validate a convolutional neural network (CNN)‐based algorithm for automatic selection of informative frames in flexible laryngoscopic videos. The classifier has the potential to aid in the development of computer‐aided… read more here.

Keywords: informative laryngoscopic; laryngoscopic; laryngoscopic images; images using ... See more keywords
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Automatic Classification of Cardiac Arrhythmias Based on Hybrid Features and Decision Tree Algorithm

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recommendations! Published in 2020 at "International Journal of Automation and Computing"

DOI: 10.1007/s11633-019-1219-2

Abstract: Accurate classification of cardiac arrhythmias is a crucial task because of the non-stationary nature of electrocardiogram (ECG) signals. In a life-threatening situation, an automated system is necessary for early detection of beat abnormalities in order… read more here.

Keywords: decision; automatic classification; cardiac arrhythmias; classification cardiac ... See more keywords
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Automatic classification of normal and abnormal cell division using deep learning

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-64834-7

Abstract: In recent years, there has been a surge in the development of methods for cell segmentation and tracking, with initiatives like the Cell Tracking Challenge driving progress in the field. Most studies focus on regular… read more here.

Keywords: deep learning; cell; automatic classification; normal abnormal ... See more keywords

Development of deep learning architecture for automatic classification of outdoor mobile LiDAR data

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recommendations! Published in 2018 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2018.1547929

Abstract: ABSTRACT This paper proposes a deep convolutional neural network (CNN) architecture for automatic classification of mobile laser scanning (MLS) data obtained for outdoor environment, which are characterized by noise, clutter, large size and larger quantum… read more here.

Keywords: automatic classification; classification; electric pole; architecture automatic ... See more keywords

A framework for automatic classification of mobile LiDAR data using multiple regions and 3D CNN architecture

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recommendations! Published in 2020 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2020.1734252

Abstract: ABSTRACT This paper proposes a framework for automatic classification of mobile laser scanner (MLS) point cloud using multi-faceted multi-object convolutional neural network (MMCN). The proposed method takes a full three-dimensional (3D) point cloud as input… read more here.

Keywords: automatic classification; framework automatic; classification; framework ... See more keywords

An automatic classification method of testicular histopathology based on SC-YOLO framework.

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recommendations! Published in 2024 at "BioTechniques"

DOI: 10.1080/07366205.2024.2393544

Abstract: The pathological diagnosis and treatment of azoospermia depend on precise identification of spermatogenic cells. Traditional methods are time-consuming and highly subjective due to complexity of Johnsen score, posing challenges for accurately diagnosing azoospermia. Here, we… read more here.

Keywords: classification method; histopathology; automatic classification; spermatogenic cells ... See more keywords

Automatic Classification of Slit-Lamp Photographs by Imaging Illumination.

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recommendations! Published in 2023 at "Cornea"

DOI: 10.1097/ico.0000000000003318

Abstract: PURPOSE The aim of this study was to facilitate deep learning systems in image annotations for diagnosing keratitis type by developing an automated algorithm to classify slit-lamp photographs (SLPs) based on illumination technique. METHODS SLPs… read more here.

Keywords: photographs; slit lamp; slit beam; automatic classification ... See more keywords
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A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers

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recommendations! Published in 2021 at "IEEE/CAA Journal of Automatica Sinica"

DOI: 10.1109/jas.2020.1003387

Abstract: The manufacturing of nanomaterials by the electrospinning process requires accurate and meticulous inspection of related scanning electron microscope ( SEM ) images of the electrospun nanofiber, to ensure that no structural defects are produced. The… read more here.

Keywords: system; classification system; automatic classification; novel automatic ... See more keywords

Automatic Classification of Atrial and Ventricular Arrhythmias Using Scaled Bidirectional LSTM

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3575848

Abstract: Cardiac arrhythmia (CA) is a condition of the heart that raises the risk of heart failure, stroke, and mortality. A CA can be quickly detected by an electrocardiogram (ECG), which analyses the heart’s electrical activity.… read more here.

Keywords: classification atrial; atrial ventricular; scaled bidirectional; automatic classification ... See more keywords