AI Medical Compendium Journal:
Medical & biological engineering & computing

Showing 101 to 110 of 330 articles

A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals.

Medical & biological engineering & computing Feb 20, 2024
In recent years, fatigue driving has become the main cause of traffic accidents, leading to increased attention towards fatigue detection systems. However, the pooling and strided convolutional operations in fatigue detection algorithm based on tradi...
Signal Processing, Computer-Assisted Fatigue Deep Learning Electroencephalography Humans Neural Networks, Computer Algorithms
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Deep Upscale U-Net for automatic tongue segmentation.

Medical & biological engineering & computing Feb 19, 2024
In a treatment or diagnosis related to oral health conditions such as oral cancer and oropharyngeal cancer, an investigation of tongue's movements is a major part. In an automatic measurement of such movement, it must first start with a task of tongu...
Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Tongue Algorithms
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COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images.

Medical & biological engineering & computing Feb 16, 2024
Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to restricted airflow and respiratory problems, causing a significant health, economic, and social burden. Detecting the COPD stage can provide a timely warning for p...
Aged Pulmonary Disease, Chronic Obstructive Middle Aged Lung Male Machine Learning Tomography, X-Ray Computed Female Humans Neural Networks, Computer Exhalation Inhalation
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Meta-lasso: new insight on infection prediction after minimally invasive surgery.

Medical & biological engineering & computing Feb 13, 2024
Surgical site infection (SSI) after minimally invasive lung cancer surgery constitutes an important factor influencing the direct and indirect economic implications, patient prognosis, and the 5-year survival rate for early-stage lung cancer patients...
Surgical Wound Infection Lung Neoplasms Minimally Invasive Surgical Procedures Retrospective Studies Humans Machine Learning Female Algorithms Male Aged Middle Aged
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ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.

Medical & biological engineering & computing Feb 8, 2024
Early intervention in tumors can greatly improve human survival rates. With the development of deep learning technology, automatic image segmentation has taken a prominent role in the field of medical image analysis. Manually segmenting kidneys on CT...
Kidney Neoplasms Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Kidney Humans Deep Learning Neural Networks, Computer
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A macro-micro FE and ANN framework to assess site-specific bone ingrowth around the porous beaded-coated implant: an example with BOX® tibial implant for total ankle replacement.

Medical & biological engineering & computing Feb 7, 2024
The use of mechanoregulatory schemes based on finite element (FE) analysis for the evaluation of bone ingrowth around porous surfaces is a viable approach but requires significant computational time and effort. The aim of this study is to develop a c...
Neural Networks, Computer Female Reproducibility of Results Humans Datasets as Topic Tibia Finite Element Analysis Adult Prostheses and Implants Arthroplasty, Replacement, Ankle
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A multimodal virtual vision platform as a next-generation vision system for a surgical robot.

Medical & biological engineering & computing Feb 2, 2024
Robot-assisted surgery platforms are utilized globally thanks to their stereoscopic vision systems and enhanced functional assistance. However, the necessity of ergonomic improvement for their use by surgeons has been increased. In surgical robots, i...
Robotic Surgical Procedures Vision, Ocular User-Computer Interface Virtual Reality Robotics Humans
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Cancer detection and classification using a simplified binary state vector machine.

Medical & biological engineering & computing Feb 1, 2024
Cancer is an invasive and malignant growth of cells and is known to be one of the most fatal diseases. Its early detection is essential for decreasing the mortality rate and increasing the probability of survival. This study presents an efficient mac...
Probability Machine Learning Neoplasms Algorithms Support Vector Machine Neural Networks, Computer
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Robust face recognition using quaternion interval type II fuzzy logic-based feature extraction on colour images.

Medical & biological engineering & computing Feb 1, 2024
In this paper, we propose a new robust and fast learning technique by investigating the effect of integration of quaternion and interval type II fuzzy logic along with non-iterative, parameter free deterministic learning machine (DLM) pertaining to f...
Humans Learning Fuzzy Logic Color Facial Recognition Female Male
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SSDL-an automated semi-supervised deep learning approach for patient-specific 3D reconstruction of proximal femur from QCT images.

Medical & biological engineering & computing Jan 13, 2024
Deep Learning (DL) techniques have recently been used in medical image segmentation and the reconstruction of 3D anatomies of a human body. In this work, we propose a semi-supervised DL (SSDL) approach utilizing a CNN-based 3D U-Net model for femur s...
Image Processing, Computer-Assisted Deep Learning Femur Imaging, Three-Dimensional Humans Reproducibility of Results
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