AIMC Journal:
Computational and mathematical methods in medicine

Showing 231 to 240 of 406 articles

Segmentation of Overlapping Cervical Cells with Mask Region Convolutional Neural Network.

Computational and mathematical methods in medicine Oct 4, 2021
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix cytological analysis due to the presence of fuzzy and highly overlapping cells. Deep learning-based diagnostic technology has proven to be effective in...
Computational Biology Female Cervix Uteri Image Interpretation, Computer-Assisted Cytoplasm Humans Cytodiagnosis Uterine Cervical Neoplasms Deep Learning Neural Networks, Computer Vaginal Smears Databases, Factual
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Competency of Neural Networks for the Numerical Treatment of Nonlinear Host-Vector-Predator Model.

Computational and mathematical methods in medicine Oct 4, 2021
The aim of this work is to introduce a stochastic solver based on the Levenberg-Marquardt backpropagation neural networks (LMBNNs) for the nonlinear host-vector-predator model. The nonlinear host-vector-predator model is dependent upon five classes, ...
Animals Disease Vectors Nonlinear Dynamics Computational Biology Vector Borne Diseases Models, Biological Plant Diseases Stochastic Processes Predatory Behavior Neural Networks, Computer Computer Simulation
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Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art.

Computational and mathematical methods in medicine Sep 30, 2021
Cancer early detection increases the chances of survival. Some cancer types, like pancreatic cancer, are challenging to diagnose or detect early, and the stages have a fast progression rate. This paper presents the state-of-the-art techniques used in...
Carcinoma, Pancreatic Ductal Survival Analysis Computational Biology Support Vector Machine Neural Networks, Computer Early Detection of Cancer Humans Machine Learning Pancreatic Neoplasms Survival Rate Algorithms Deep Learning Prognosis Surveys and Questionnaires
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A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network.

Computational and mathematical methods in medicine Sep 28, 2021
Medical image quality is highly relative to clinical diagnosis and treatment, leading to a popular research topic of medical image denoising. Image denoising based on deep learning methods has attracted considerable attention owing to its excellent a...
Humans Neural Networks, Computer Algorithms Databases, Factual Computer Simulation Computational Biology Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Tomography, X-Ray Computed Lung Deep Learning
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An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks.

Computational and mathematical methods in medicine Sep 20, 2021
There have been remarkable changes in our lives and the way we perceive the world with advances in computing technology. Healthcare sector is evolving with the intervention of the latest computer-driven technology and has made a remarkable change in ...
Thoracic Diseases Neural Networks, Computer Machine Learning Databases, Factual Computational Biology Radiographic Image Interpretation, Computer-Assisted Syndrome Radiography, Thoracic Stochastic Processes Humans
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A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection.

Computational and mathematical methods in medicine Sep 13, 2021
Artificial Intelligence (AI) is the domain of computer science that focuses on the development of machines that operate like humans. In the field of AI, medical disease detection is an instantly growing domain of research. In the past years, numerous...
Bayes Theorem Alzheimer Disease Nonlinear Dynamics Image Interpretation, Computer-Assisted Stochastic Processes Artificial Intelligence Machine Learning Diagnosis, Computer-Assisted Computational Biology Humans Neural Networks, Computer
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Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images.

Computational and mathematical methods in medicine Sep 13, 2021
Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and treatment. No single echocardiographic method has been recommended for MR quantification thus far. We sought to define the feasibility and accuracy of the...
Female Aged Aged, 80 and over Adult Humans Neural Networks, Computer Algorithms Echocardiography, Three-Dimensional Deep Learning Computational Biology Mitral Valve Insufficiency Echocardiography, Doppler, Color Male Middle Aged Severity of Illness Index
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Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis.

Computational and mathematical methods in medicine Sep 12, 2021
Pneumonitis is an infectious disease that causes the inflammation of the air sac. It can be life-threatening to the very young and elderly. Detection of pneumonitis from X-ray images is a significant challenge. Early detection and assistance with dia...
SARS-CoV-2 Deep Learning Computational Biology Pneumonia COVID-19 Algorithms Databases, Factual Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model.

Computational and mathematical methods in medicine Sep 11, 2021
Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes increasingly popular in recent years. One of the major drawbacks of this technology is that it generates a large number of photos that must be analyzed by medical pe...
Gastrointestinal Diseases Humans Norway Neural Networks, Computer Wireless Technology Algorithms Image Interpretation, Computer-Assisted Databases, Factual Gastrointestinal Tract Deep Learning Capsule Endoscopy Computational Biology
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A Hybrid Method to Predict Postoperative Survival of Lung Cancer Using Improved SMOTE and Adaptive SVM.

Computational and mathematical methods in medicine Sep 10, 2021
Predicting postoperative survival of lung cancer patients (LCPs) is an important problem of medical decision-making. However, the imbalanced distribution of patient survival in the dataset increases the difficulty of prediction. Although the syntheti...
Support Vector Machine Humans Algorithms Fuzzy Logic Databases, Factual Survival Analysis Lung Neoplasms Computer Heuristics Computational Biology
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