AIMC Topic: Convolutional Neural Networks

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A fine tuned EfficientNet-B0 convolutional neural network for accurate and efficient classification of apple leaf diseases.

Scientific reports Jul 16, 2025
Precise classification and detection of apple diseases are essential for efficient crop management and maximizing yield. This paper presents a fine-tuned EfficientNet-B0 convolutional neural network (CNN) for the automated classification of apple lea...
Plant Leaves Plant Diseases Malus Neural Networks, Computer Convolutional Neural Networks
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Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers.

Scientific reports Jul 15, 2025
Ultrasound imaging plays an important role in fetal growth and maternal-fetal health evaluation, but due to the complicated anatomy of the fetus and image quality fluctuation, its interpretation is quite challenging. Although deep learning include Co...
Convolutional Neural Networks Humans Image Processing, Computer-Assisted Neural Networks, Computer Image Interpretation, Computer-Assisted Pregnancy Fetus Female Ultrasonography, Prenatal Deep Learning
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Recurrence prediction of invasive ductal carcinoma from preoperative contrast-enhanced computed tomography using deep convolutional neural network.

Biomedical physics & engineering express Jul 10, 2025
Predicting the risk of breast cancer recurrence is crucial for guiding therapeutic strategies, including enhanced surveillance and the consideration of additional treatment after surgery. In this study, we developed a deep convolutional neural networ...
Humans Neural Networks, Computer Retrospective Studies Adult Breast Neoplasms Middle Aged Tomography, X-Ray Computed Female Aged Carcinoma, Ductal, Breast Contrast Media Preoperative Period Area Under Curve Convolutional Neural Networks Neoplasm Recurrence, Local ROC Curve
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Automated detection of air trapping from mechanical ventilation waveform through interpretable dual-channel 1D convolutional neural network.

Physiological measurement Jul 10, 2025
. Air trapping is a major symptom of respiratory diseases like chronic obstructive pulmonary disease and asthma, and has always been a significant problem in treating patients using mechanical ventilation. If not handled timely, it can pose risk of s...
Air Bronchodilator Agents Neural Networks, Computer Respiration, Artificial Convolutional Neural Networks Signal Processing, Computer-Assisted Automation Humans
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Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.

Scientific reports Jul 9, 2025
Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pathological changes in the retinal neural and vascular system. Recently, fundus imaging is a popular technology and widely used for clinical diagnosis, ...
Convolutional Neural Networks Image Processing, Computer-Assisted Fundus Oculi Retina Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Diabetic Retinopathy Algorithms Deep Learning
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images.

Scientific reports Jul 9, 2025
Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detection. However, existing diagnostic models often struggle to extract complex patterns from high-resolu...
Humans Image Processing, Computer-Assisted Breast Neoplasms Image Interpretation, Computer-Assisted Deep Learning Convolutional Neural Networks Algorithms Female
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ColoViT: a synergistic integration of EfficientNet and vision transformers for advanced colon cancer detection.

Journal of cancer research and clinical oncology Jul 9, 2025
BACKGROUND: Colon cancer remains a leading cause of cancer-related mortality globally, highlighting the urgent need for advanced diagnostic methods to improve early detection and patient outcomes.
Colonic Neoplasms Image Interpretation, Computer-Assisted Convolutional Neural Networks Early Detection of Cancer Humans Algorithms Colonoscopy Deep Learning
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AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols.

Scientific reports Jul 7, 2025
Accurate segmentation of brain tumors from multimodal Magnetic Resonance Imaging (MRI) plays a critical role in diagnosis, treatment planning, and disease monitoring in neuro-oncology. Traditional methods of tumor segmentation, often manual and labou...
Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Deep Learning Convolutional Neural Networks Neural Networks, Computer Brain Neoplasms
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Vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation.

PloS one Jul 7, 2025
This article proposes a novel approach for vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation named MixNet. In industrial environments where equipment reliability directly im...
Humans Signal Processing, Computer-Assisted Equipment Failure Analysis Neural Networks, Computer Vibration Deep Learning Convolutional Neural Networks
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An improved lightweight method based on EfficientNet for birdsong recognition.

Scientific reports Jul 3, 2025
In the context of birdsong recognition, conventional modeling approaches often involve a significant number of parameters and high computational costs, rendering them unsuitable for deployment in embedded field monitoring devices. To improve the conv...
Pattern Recognition, Automated Vocalization, Animal Animals Neural Networks, Computer Birds Algorithms Convolutional Neural Networks
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