AIMC Topic: Neural Networks, Computer

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DKCNN: Improving deep kernel convolutional neural network-based COVID-19 identification from CT images of the chest.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: An efficient deep convolutional neural network (DeepCNN) is proposed in this article for the classification of Covid-19 disease.
Pneumonia, Viral Thorax Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Humans Betacoronavirus Coronavirus Infections Pandemics SARS-CoV-2 Neural Networks, Computer COVID-19 Algorithms
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Deep Learning-Based Prediction of Radiation Therapy Dose Distributions in Nasopharyngeal Carcinomas: A Preliminary Study Incorporating Multiple Features Including Images, Structures, and Dosimetry.

Technology in cancer research & treatment Jan 1, 2024
Intensity-modulated radiotherapy (IMRT) is currently the most important treatment method for nasopharyngeal carcinoma (NPC). This study aimed to enhance prediction accuracy by incorporating dose information into a deep convolutional neural network (...
Radiometry Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Radiotherapy Planning, Computer-Assisted Deep Learning Radiotherapy Dosage Humans Organs at Risk Radiotherapy, Intensity-Modulated Neural Networks, Computer
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A Novel Deep Learning Model for Drug-drug Interactions.

Current computer-aided drug design Jan 1, 2024
INTRODUCTION: Drug-drug interactions (DDIs) can lead to adverse events and compromised treatment efficacy that emphasize the need for accurate prediction and understanding of these interactions.
Deep Learning Drug Interactions Drug-Related Side Effects and Adverse Reactions Humans Neural Networks, Computer
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A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images.

Journal of X-ray science and technology Jan 1, 2024
Retinal disorders pose a serious threat to world healthcare because they frequently result in visual loss or impairment. For retinal disorders to be diagnosed precisely, treated individually, and detected early, deep learning is a necessary subset of...
Humans Neural Networks, Computer Retina Image Interpretation, Computer-Assisted Game Theory Deep Learning Retinal Diseases Algorithms Image Processing, Computer-Assisted Reproducibility of Results Tomography, Optical Coherence
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A deep learning approach for acute liver failure prediction with combined fully connected and convolutional neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Acute Liver Failure (ALF) is a critical medical condition with rapid development, often caused by viral infections, hepatotoxic drug abuse, or other severe liver diseases. Timely and accurate prediction of ALF occurrence is clinically cru...
Male Deep Learning Liver Failure, Acute Neural Networks, Computer Humans Female
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Intelligent deep learning supports biomedical image detection and classification of oral cancer.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Oral cancer is a malignant tumor that usually occurs within the tissues of the mouth. This type of cancer mainly includes tumors in the lining of the mouth, tongue, lips, buccal mucosa and gums. Oral cancer is on the rise globally, especi...
Mouth Neoplasms Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Sensitivity and Specificity
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Deep learning-based differentiation of ventricular septal defect from tetralogy of Fallot in fetal echocardiography images.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Congenital heart disease (CHD) seriously affects children's health and quality of life, and early detection of CHD can reduce its impact on children's health. Tetralogy of Fallot (TOF) and ventricular septal defect (VSD) are two types of ...
Humans Neural Networks, Computer Pregnancy Ultrasonography, Prenatal Deep Learning Diagnosis, Differential Female Echocardiography Tetralogy of Fallot Heart Septal Defects, Ventricular
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Super-resolution of diffusion-weighted images using space-customized learning model.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Diffusion-weighted imaging (DWI) is a noninvasive method used for investigating the microstructural properties of the brain. However, a tradeoff exists between resolution and scanning time in clinical practice. Super-resolution has been e...
Deep Learning Image Processing, Computer-Assisted Diffusion Magnetic Resonance Imaging Connectome Humans Neural Networks, Computer Brain
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Brain tumor segmentation based on the U-NET+⁣+ network with efficientnet encoder.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Brain tumor is a highly destructive, aggressive, and fatal disease. The presence of brain tumors can disrupt the brain's ability to control body movements, consciousness, sensations, thoughts, speech, and memory. Brain tumors are often ac...
Neural Networks, Computer Humans Magnetic Resonance Imaging Brain Neoplasms Algorithms
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A novel deep learning technique for medical image analysis using improved optimizer.

Health informatics journal Jan 1, 2024
Application of Convolutional neural network in spectrum of Medical image analysis are providing benchmark outputs which converges the interest of many researchers to explore it in depth. Latest preprocessing technique Real ESRGAN (Enhanced super reso...
Humans Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Neural Networks, Computer Algorithms
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