AIMC Journal:
Medical & biological engineering & computing

Showing 171 to 180 of 330 articles

Good view frames from ultrasonography (USG) video containing ONS diameter using state-of-the-art deep learning architectures.

Medical & biological engineering & computing Oct 3, 2022
This paper presents an automated method for detection of the diagnostically prominent frames containing optic nerve sheath (ONS) from ocular ultrasonography video using deep learning; such frames are referred to as "Good View" frames in this paper. V...
Humans Prospective Studies Intracranial Pressure Optic Nerve Ultrasonography Deep Learning
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Automatic lung tumor segmentation from CT images using improved 3D densely connected UNet.

Medical & biological engineering & computing Sep 28, 2022
Accurate lung tumor segmentation has great significance in the treatment planning of lung cancer. However, robust lung tumor segmentation becomes challenging due to the heterogeneity of tumors and the similar visual characteristics between tumors and...
Lung Neoplasms Thorax Image Processing, Computer-Assisted Algorithms Humans Tomography, X-Ray Computed Deep Learning
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A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet.

Medical & biological engineering & computing Sep 24, 2022
Ultrasound (US) imaging is recognized as a useful support for Carpal Tunnel Syndrome (CTS) assessment through the evaluation of median nerve morphology. However, US is still far to be systematically adopted to evaluate this common entrapment neuropat...
Median Nerve Bays Wrist Carpal Tunnel Syndrome Humans Ultrasonography Deep Learning
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HEp-2 image classification using a multi-class and multiple-binary classifier.

Medical & biological engineering & computing Sep 13, 2022
In medicine, identifying the indirect immunofluorescence of human epithelial type 2 (HEp-2) cells plays a decisive role in the diagnosis of autoimmune diseases. The manual interpretation of Hep-2 cell images may lead to some limitations, such as subj...
Neural Networks, Computer Humans
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A novel approach for detection of dyslexia using convolutional neural network with EOG signals.

Medical & biological engineering & computing Sep 5, 2022
Dyslexia is a learning disability in acquiring reading skills, even though the individual has the appropriate learning opportunity, adequate education, and appropriate sociocultural environment. Dyslexia negatively affects children's educational deve...
Humans Dyslexia Child Electrooculography Electroencephalography Eye Movements User-Computer Interface Neural Networks, Computer
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Deep learning-based dental implant recognition using synthetic X-ray images.

Medical & biological engineering & computing Aug 18, 2022
A novel algorithm for generating artificial training samples from triangulated three-dimensional (3D) surface models within the context of dental implant recognition is proposed. The proposed algorithm is based on the calculation of two-dimensional (...
Algorithms Dental Implants X-Rays Deep Learning
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A comprehensive survey on deep learning techniques in CT image quality improvement.

Medical & biological engineering & computing Aug 13, 2022
High-quality computed tomography (CT) images are key to clinical diagnosis. However, the current quality of an image is limited by reconstruction algorithms and other factors and still needs to be improved. When using CT, a large quantity of imaging ...
Image Processing, Computer-Assisted Tomography, X-Ray Computed Quality Improvement Algorithms Deep Learning
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Identifying the tumor location-associated candidate genes in development of new drugs for colorectal cancer using machine-learning-based approach.

Medical & biological engineering & computing Aug 10, 2022
Numerous studies have been conducted to elucidate the relation of tumor proximity to cancer prognosis and treatment efficacy in colorectal cancer. However, the molecular pathways and prognoses of left- and right-sided colorectal cancers are different...
Humans Colorectal Neoplasms Gene Ontology Machine Learning
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Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques.

Medical & biological engineering & computing Jul 14, 2022
Deep learning provides the healthcare industry with the ability to analyse data at exceptional speeds without compromising on accuracy. These techniques are applicable to healthcare domain for accurate and timely prediction. Convolutional neural netw...
Pneumonia, Viral Tuberculosis COVID-19 Humans Lung Diseases Deep Learning
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Detection of mitotic HEp-2 cell images: role of feature representation and classification framework under class skew.

Medical & biological engineering & computing Jun 30, 2022
We propose and analyze a framework to detect and identify the mitotic type staining patterns among different non-mitotic (interphase) patterns on HEp-2 cell substrate specimen images. This is considered as a principal task in computer-aided diagnosis...
Diagnosis, Computer-Assisted Neural Networks, Computer
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