AIMC Topic: Algorithms

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PM concentration prediction using a whale optimization algorithm based hybrid deep learning model in Beijing, China.

Environmental pollution (Barking, Essex : 1987) Mar 1, 2025
PM is a significant global atmospheric pollutant impacting visibility, climate, and public health. Accurate prediction of PM concentrations is critical for assessing air pollution risks and providing early warnings for effective management. This stud...
Air Pollutants Air Pollution Particulate Matter Animals Algorithms Deep Learning Environmental Monitoring Beijing Whales
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A feasibility study of lung tumor segmentation on kilo-voltage radiographic images with transfer learning: Toward tumor motion tracking in radiotherapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 1, 2025
PURPOSE: To segment the lung tumor on kilo-voltage X-ray radiographic images acquired during treatment toward the markerless lung tumor tracking.
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Radiotherapy, Image-Guided Lung Neoplasms Feasibility Studies Movement
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Enhancing Personalized Chemotherapy for Ovarian Cancer: Integrating Gene Expression Data with Machine Learning.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2025
OBJECTIVE:  Ovarian cancer's complexity and heterogeneity pose significant challenges in treatment, often resulting in suboptimal chemotherapy outcomes. This study aimed to leverage machine learning algorithms, gene selection, and gene expression dat...
Antineoplastic Combined Chemotherapy Protocols Female Algorithms Follow-Up Studies Survival Rate Middle Aged Ovarian Neoplasms Precision Medicine Biomarkers, Tumor Humans Gene Expression Profiling Prognosis Machine Learning Gene Expression Regulation, Neoplastic
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Machine Learning-Driven D-Glucose Prediction Using a Novel Biosensor for Non-Invasive Diabetes Management.

Biosensors Mar 1, 2025
Developing reliable noninvasive diagnostic and monitoring systems for diabetes remains a significant challenge, especially in the e-healthcare domain, due to computational inefficiencies and limited predictive accuracy in current approaches. The curr...
Humans Neural Networks, Computer Machine Learning Diabetes Mellitus Algorithms Glucose Blood Glucose Biosensing Techniques
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Automated Detection of Keratorefractive Laser Surgeries on Optical Coherence Tomography Using Deep Learning.

Journal of refractive surgery (Thorofare, N.J. : 1995) Mar 1, 2025
PURPOSE: To report a deep learning neural network on anterior segment optical coherence tomography (AS-OCT) for automated detection of different keratorefractive laser surgeries-including laser in situ keratomileusis with femtosecond microkeratome (f...
Myopia Deep Learning ROC Curve Tomography, Optical Coherence Humans Photorefractive Keratectomy Keratomileusis, Laser In Situ Female Adult Male Neural Networks, Computer Lasers, Excimer Algorithms Hyperopia
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Tongue shape classification based on IF-RCNet.

Scientific reports Mar 1, 2025
The classification of tongue shapes is essential for objective tongue diagnoses. However, the accuracy of classification is influenced by numerous factors. First, considerable differences exist between individuals with the same tongue shape. Second, ...
Image Processing, Computer-Assisted Tongue Neural Networks, Computer Algorithms Humans
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A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences.

Scientific reports Mar 1, 2025
The traditional molecular-based identification (TMID) technique of new infections from genome sequences (GSs) has made significant contributions so far. However, due to the sensitive nature of the medical data, the TMID technique of transferring the ...
Algorithms Deep Learning Privacy Federated Learning Humans
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Loss formulations for assumption-free neural inference of SDE coefficient functions.

NPJ systems biology and applications Mar 1, 2025
Stochastic differential equations (SDEs) are one of the most commonly studied probabilistic dynamical systems, and widely used to model complex biological processes. Building upon the previously introduced idea of performing inference of dynamical sy...
Computer Simulation Stochastic Processes Neural Networks, Computer Algorithms
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Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study.

Academic radiology Feb 28, 2025
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spinal MRI sequences using the denoising diffusion probabilistic model (DDPM) and to compare its performance against one baseline model pix2pix and three a...
Humans Algorithms Image Enhancement Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Artifacts Spinal Neoplasms Contrast Media Sensitivity and Specificity Reproducibility of Results Magnetic Resonance Imaging Male Aged Middle Aged Models, Statistical Computer Simulation Adult Female
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Deep learning-based weed detection for precision herbicide application in turf.

Pest management science Feb 28, 2025
BACKGROUND: Precision weed mapping in turf according to its susceptibility to selective herbicides allows the smart sprayer to spot-spray the most pertinent herbicides onto the susceptible weeds. The objective of this study was to evaluate the feasib...
Plant Weeds Neural Networks, Computer Herbicides Algorithms Weed Control Deep Learning
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