AIMC Topic: Convolutional Neural Networks

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Label-free classification of nanoscale drug delivery systems using hyperspectral imaging and convolutional neural networks.

International journal of pharmaceutics Aug 28, 2025
Label-free characterization of nanoscale drug delivery systems remains a critical challenge in pharmaceutical research. Traditional analytical methods, such as cryo-electron microscopy, are labor-intensive, low-throughput, and often require labeling,...
Drug Delivery Systems Deep Learning Convolutional Neural Networks Neural Networks, Computer Liposomes Hyperspectral Imaging Nanoparticle Drug Delivery System Nanoparticles Polyethylene Glycols Doxorubicin
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Development and validation of a keypoint region-based convolutional neural network to automate thoracic Cobb angle measurements using whole-spine standing radiographs.

Acta neurochirurgica Aug 23, 2025
PURPOSE: Adolescent idiopathic scoliosis (AIS) affects a significant portion of the adolescent population, leading to severe spinal deformities if untreated. Diagnosis, surgical planning, and assessment of outcomes are determined primarily by the Cob...
Thoracic Vertebrae Radiography Spinal Fusion Scoliosis Convolutional Neural Networks Adolescent Child Humans Neural Networks, Computer Female Male
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Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images.

BMC oral health Aug 21, 2025
OBJECTIVES: Development and verification of a convolutional neural network (CNN)-based deep learning (DL) model for mandibular canal (MC) localization on multicenter cone beam computed tomography (CBCT) images.
Humans Neural Networks, Computer Deep Learning Convolutional Neural Networks Cone-Beam Computed Tomography Mandible
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Deep Learning for the Early Detection of Invasive Ductal Carcinoma in Histopathological Images: Convolutional Neural Network Approach With Transfer Learning.

JMIR formative research Aug 21, 2025
BACKGROUND: Invasive ductal carcinoma (IDC) is considered the most common form of breast cancer, accounting for a significant percentage of mortality worldwide. Therefore, its early detection is vital to further improve patients' outcomes and surviva...
Deep Learning Convolutional Neural Networks Early Detection of Cancer Humans Neural Networks, Computer Carcinoma, Ductal, Breast Female Breast Neoplasms
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Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement.

Scientific reports Aug 19, 2025
Leukocytes or white blood cells (WBCs) are the main components of the immune system that protect the human body from various infections caused by viruses, bacteria, fungi, and other microorganisms. There are five major types of leukocytes: basophils,...
Humans Bone Marrow Cells Image Processing, Computer-Assisted Leukocytes Neural Networks, Computer Bone Marrow Convolutional Neural Networks
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A rolling bearing fault diagnosis method based on an improved parallel one-dimensional convolutional neural network.

PloS one Aug 11, 2025
As a critical component of industrial equipment, the fault diagnosis of rolling bearings is essential for reducing unplanned downtime and improving equipment reliability. Existing methods achieve an accuracy of no more than 92% in low signal-to-noise...
Convolutional Neural Networks Signal-To-Noise Ratio Humans Neural Networks, Computer Algorithms
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Identifying melanoma among benign simulators - Is there a role for deep learning convolutional neural networks? (MelSim Study).

European journal of cancer (Oxford, England : 1990) Aug 10, 2025
IMPORTANCE: Early detection of cutaneous melanoma (CM) is crucial for patient survival, yet avoiding overdiagnosis remains essential. Differentiating CM from benign melanoma simulators (MelSim) is challenging due to overlapping features. Deep learnin...
Skin Neoplasms Dermoscopy Adult Female Melanoma Middle Aged Deep Learning Convolutional Neural Networks Sensitivity and Specificity Cross-Sectional Studies Male Humans Neural Networks, Computer Diagnosis, Differential Dermatologists ROC Curve Early Detection of Cancer
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BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.

Scientific reports Aug 8, 2025
Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a primary cancer that occurs in women. Earlier identification of BC is significant in the treatment process. To lessen unwanted biopsies, Magnetic Resonan...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Algorithms Image Interpretation, Computer-Assisted Female Convolutional Neural Networks Breast Neoplasms
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Gastrointestinal bleeding detection on digital subtraction angiography using convolutional neural networks with and without temporal information.

Diagnostic and interventional radiology (Ankara, Turkey) Aug 7, 2025
PURPOSE: Digital subtraction angiography (DSA) offers a real-time approach to locating lower gastrointestinal (GI) bleeding. However, many sources of bleeding are not easily visible on angiograms. This investigation aims to develop a machine learning...
Neural Networks, Computer Machine Learning Male Convolutional Neural Networks Gastrointestinal Hemorrhage Imaging, Three-Dimensional Angiography, Digital Subtraction Embolization, Therapeutic Humans
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Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN).

Scientific reports Aug 6, 2025
This study presents an ensemble-based approach for detecting and classifying sesame diseases using deep convolutional neural networks (CNNs). Sesame is a crucial oilseed crop that faces significant challenges from various diseases, including phyllody...
Convolutional Neural Networks Neural Networks, Computer Plant Leaves Plant Diseases Deep Learning Sesamum
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