AIMC Topic: Convolutional Neural Networks

Clear Filters Showing 221 to 230 of 402 articles

Deep learning-based defect detection in film-coated tablets using a convolutional neural network.

International journal of pharmaceutics Jan 18, 2025
Film-coating is a critical step in pharmaceutical manufacturing. Traditional visual inspections for film-coated tablet defect assessment are subjective, inefficient, and labor-intensive. We propose a novel approach utilizing machine learning and imag...
Drug Compounding Convolutional Neural Networks Technology, Pharmaceutical Tablets, Enteric-Coated Image Processing, Computer-Assisted Neural Networks, Computer Tablets Deep Learning
View on PubMed DOI

An open source convolutional neural network to detect and localize distal radius fractures on plain radiographs.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Jan 17, 2025
PURPOSE: Distal radius fractures (DRFs) are often initially assessed by junior doctors under time constraints, with limited supervision, risking significant consequences if missed. Convolutional Neural Networks (CNNs) can aid in diagnosing fractures....
Wrist Fractures Radius Fractures Trauma Centers Wrist Injuries Convolutional Neural Networks Radiography Female Aged Aged, 80 and over Adult Male Middle Aged Neural Networks, Computer Algorithms Retrospective Studies Humans
View on PubMed DOI

Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation.

PloS one Jan 17, 2025
CNN is considered an efficient tool in brain image segmentation. However, neonatal brain images require specific methods due to their nature and structural differences from adult brain images. Hence, it is necessary to determine the optimal structure...
Convolutional Neural Networks Humans Image Processing, Computer-Assisted Brain Neural Networks, Computer Magnetic Resonance Imaging Algorithms Infant, Newborn
View on PubMed DOI

Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification.

PloS one Jan 16, 2025
Skin cancer is considered globally as the most fatal disease. Most likely all the patients who received wrong diagnosis and low-quality treatment die early. Though if it is detected in the early stages the patient has fairly good chance and the afore...
Random Forest Image Processing, Computer-Assisted Skin Skin Neoplasms Humans Deep Learning Neural Networks, Computer Convolutional Neural Networks Algorithms
View on PubMed DOI

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.

PloS one Jan 16, 2025
In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, de...
Algorithms Convolutional Neural Networks Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Signal-To-Noise Ratio Humans Neural Networks, Computer Imagination
View on PubMed DOI

Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning.

Scientific reports Jan 15, 2025
Nailfold Capillaroscopy (NFC) is a simple, non-invasive diagnostic tool used to detect microvascular changes in nailfold. Chronic pathological changes associated with a wide range of systemic diseases, such as diabetes, cardiovascular disorders, and ...
Microscopic Angioscopy Capillaries Image Processing, Computer-Assisted Nails Humans Female Male Deep Learning Convolutional Neural Networks
View on PubMed DOI

Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints.

Scientific reports Jan 15, 2025
Accurately extracting organs from medical images provides radiologist with more comprehensive evidences to clinical diagnose, which offers up a higher accuracy and efficiency. However, the key to achieving accurate segmentation lies in abundant clues...
Humans Tomography, X-Ray Computed Convolutional Neural Networks Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Databases, Factual Liver Pancreas
View on PubMed DOI

Dorsoventral comparison of intraspecific variation in the butterfly wing pattern using a convolutional neural network.

Biology letters Jan 15, 2025
Butterfly wing patterns exhibit notable differences between the dorsal and ventral surfaces, and morphological analyses of them have provided insights into the ecological and behavioural characteristics of wing patterns. Conventional methods for dors...
Male Convolutional Neural Networks Sex Characteristics Species Specificity Wings, Animal Butterflies Neural Networks, Computer Female Animals
View on PubMed DOI

Utilizing convolutional neural network (CNN) for orchard irrigation decision-making.

Environmental monitoring and assessment Jan 14, 2025
Efficient agricultural management often relies on farmers' experiential knowledge and demands considerable labor, particularly in regions with challenging terrains. To reduce these burdens, the adoption of smart technologies has garnered increasing a...
Agriculture Environmental Monitoring Decision Making Neural Networks, Computer Soil Agricultural Irrigation Convolutional Neural Networks
View on PubMed DOI

E-DFu-Net: An efficient deep convolutional neural network models for Diabetic Foot Ulcer classification.

Biomolecules & biomedicine Jan 14, 2025
The Diabetic Foot Ulcer (DFU) is a severe complication that affects approximately 33% of diabetes patients globally, often leading to limb amputation if not detected early. This study introduces an automated approach for identifying and classifying D...
Deep Learning Convolutional Neural Networks Diabetic Foot Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals