AIMC Topic: Convolutional Neural Networks

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EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data.

Interdisciplinary sciences, computational life sciences Nov 22, 2024
Gene Regulatory Networks (GRNs) reveal complex interactions between genes in organisms, crucial for understanding the life system's operation. The rapid development of biotechnology, especially single-cell RNA sequencing (scRNA-seq), has generated a ...
Deep Learning Gene Regulatory Networks Convolutional Neural Networks Computational Biology Single-Cell Analysis Humans Female Breast Neoplasms
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Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural Networks.

IEEE transactions on bio-medical engineering Nov 21, 2024
OBJECTIVE: Surface electromyography (sEMG) can sense the motor commands transmitted to the muscles. This work presents a deep learning method that can decode the electrophysiological activity of the forearm muscles into the movements of the human han...
Female Young Adult Humans Neural Networks, Computer Hand Deep Learning Electromyography Adult Convolutional Neural Networks Movement Biomechanical Phenomena Muscle, Skeletal Male Signal Processing, Computer-Assisted
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HCAR-AM ground nut leaf net: Hybrid convolution-based adaptive ResNet with attention mechanism for detecting ground nut leaf diseases with adaptive segmentation.

Network (Bristol, England) Nov 17, 2024
Estimating the optimal answer is expensive for huge data resources that decrease the functionality of the system. To solve these issues, the latest groundnut leaf disorder identification model by deep learning techniques is implemented. The images ar...
Plant Diseases Arachis Plant Leaves Models, Biological Convolutional Neural Networks Deep Learning Image Processing, Computer-Assisted
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An intelligent magnetic resonance imagining-based multistage Alzheimer's disease classification using swish-convolutional neural networks.

Medical & biological engineering & computing Nov 15, 2024
Alzheimer's disease (AD) refers to a neurological disorder that causes damage to brain cells and results in decreasing cognitive abilities and memory. In brain scans, this degeneration can be seen in different ways. The disease can be classified into...
Neural Networks, Computer Algorithms Brain Alzheimer Disease Female Humans Image Processing, Computer-Assisted Aged Neuroimaging Magnetic Resonance Imaging Male Convolutional Neural Networks
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A lightweight deep-learning model for parasite egg detection in microscopy images.

Parasites & vectors Nov 6, 2024
BACKGROUND: Intestinal parasitic infections are still a serious public health problem in developing countries, and the diagnosis of parasitic infections requires the first step of parasite/egg detection of samples. Automated detection can eliminate t...
Microscopy Parasite Egg Count Intestinal Diseases, Parasitic Deep Learning Convolutional Neural Networks Feces Image Processing, Computer-Assisted Humans Animals Diagnosis, Computer-Assisted
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Development and Evaluation of a Convolutional Neural Network for Microscopic Diagnosis Between Pleomorphic Adenoma and Carcinoma Ex-Pleomorphic Adenoma.

Head & neck Oct 27, 2024
AIMS: To develop a model capable of distinguishing carcinoma ex-pleomorphic adenoma from pleomorphic adenoma using a convolutional neural network architecture.
Cohort Studies Diagnosis, Differential Carcinoma Salivary Gland Neoplasms Adenoma, Pleomorphic Middle Aged Brazil Convolutional Neural Networks Adult Sensitivity and Specificity Male Female Aged Humans Neural Networks, Computer
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Transformer-Integrated Hybrid Convolutional Neural Network for Dose Prediction in Nasopharyngeal Carcinoma Radiotherapy.

Journal of imaging informatics in medicine Oct 18, 2024
Radiotherapy is recognized as the major treatment of nasopharyngeal carcinoma. Rapid and accurate dose prediction can improve the efficiency of the treatment planning process and the quality of radiotherapy plans. Currently, deep learning-based metho...
Radiotherapy Dosage Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Convolutional Neural Networks Radiotherapy Planning, Computer-Assisted Humans Deep Learning
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A convolutional neural network-based system for identifying neuroendocrine neoplasms and multiple types of lesions in the pancreas using EUS (with videos).

Gastrointestinal endoscopy Oct 17, 2024
BACKGROUND AND AIMS: EUS is sensitive in detecting pancreatic neuroendocrine neoplasm (pNEN). However, the endoscopic diagnosis of pNEN is operator-dependent and time-consuming because pNEN mimics normal pancreas and other pancreatic lesions. We inte...
Retrospective Studies Female Aged Adult Humans Neural Networks, Computer Neuroendocrine Tumors Pancreatic Neoplasms Pancreatic Cyst Carcinoma, Pancreatic Ductal Autoimmune Pancreatitis Male Endosonography Middle Aged Video Recording Convolutional Neural Networks
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Deep convolutional neural network for automatic segmentation and classification of jaw tumors in contrast-enhanced computed tomography images.

International journal of oral and maxillofacial surgery Oct 15, 2024
The purpose of this study was to evaluate the performance of convolutional neural network (CNN)-based image segmentation models for segmentation and classification of benign and malignant jaw tumors in contrast-enhanced computed tomography (CT) image...
Male Thailand Convolutional Neural Networks Contrast Media Retrospective Studies Tomography, X-Ray Computed Female Jaw Neoplasms Humans Neural Networks, Computer
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A deep drug prediction framework for viral infectious diseases using an optimizer-based ensemble of convolutional neural network: COVID-19 as a case study.

Molecular diversity Oct 9, 2024
The SARS-CoV-2 outbreak highlights the persistent vulnerability of humanity to epidemics and emerging microbial threats, emphasizing the lack of time to develop disease-specific treatments. Therefore, it appears beneficial to utilize existing resourc...
Humans Neural Networks, Computer Pandemics Algorithms Convolutional Neural Networks Antiviral Agents Drug Repositioning COVID-19 Drug Treatment SARS-CoV-2 Drug Discovery Deep Learning
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