AIMC Topic: Convolutional Neural Networks

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High-Performance Computing-Based Brain Tumor Detection Using Parallel Quantum Dilated Convolutional Neural Network.

NMR in biomedicine Jun 1, 2025
In the healthcare field, brain tumor causes irregular development of cells in the brain. One of the popular ways to identify the brain tumor and its progression is magnetic resonance imaging (MRI). However, existing methods often suffer from high com...
Convolutional Neural Networks Magnetic Resonance Imaging Quantum Theory Algorithms Brain Neoplasms Humans Neural Networks, Computer
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Lag-Net: Lag correction for cone-beam CT via a convolutional neural network.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Due to the presence of charge traps in amorphous silicon flat-panel detectors, lag signals are generated in consecutively captured projections. These signals lead to ghosting in projection images and severe lag artifacts in ...
Artifacts Phantoms, Imaging Convolutional Neural Networks Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Deep Learning
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Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network.

Radiological physics and technology Jun 1, 2025
The aim of this study is to remove scattered photons and beam hardening effect in cone beam CT (CBCT) images and make an image available for treatment planning. To remove scattered photons and beam hardening effect, a convolutional neural network (CN...
Humans Neural Networks, Computer Convolutional Neural Networks Signal-To-Noise Ratio Monte Carlo Method Scattering, Radiation Photons Cone-Beam Computed Tomography Image Processing, Computer-Assisted Pelvis
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Multi-class brain malignant tumor diagnosis in magnetic resonance imaging using convolutional neural networks.

Brain research bulletin Jun 1, 2025
Glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) are common malignant brain tumors with similar radiological features, while the accurate and non-invasive dialgnosis is essential for selecting appropriate...
Magnetic Resonance Imaging Glioblastoma Deep Learning Convolutional Neural Networks Lymphoma Humans Adult Brain Neoplasms Male Middle Aged Neural Networks, Computer Female Aged
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Predicting strength of femora with metastatic lesions from single 2D radiographic projections using convolutional neural networks.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Patients with metastatic bone disease are at risk of pathological femoral fractures and may require prophylactic surgical fixation. Current clinical decision support tools often overestimate fracture risk, leading to overtre...
Femoral Fractures Finite Element Analysis Convolutional Neural Networks Bone Neoplasms Femur Humans Neural Networks, Computer Tomography, X-Ray Computed
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An immunohistochemistry-based classification of colorectal cancer resembling the consensus molecular subtypes using convolutional neural networks.

Scientific reports May 31, 2025
Colorectal cancer (CRC) represents a major global disease burden with nearly 1 million cancer-related deaths annually. TNM staging has served as the foundation for predicting patient prognosis, despite variation across staging groups. The consensus m...
Neural Networks, Computer Prognosis Female Aged Humans Convolutional Neural Networks Neoplasm Staging Immunohistochemistry Middle Aged Gene Expression Profiling Transcriptome Colorectal Neoplasms Biomarkers, Tumor Male
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Diagnosis of trigeminal neuralgia based on plain skull radiography using convolutional neural network.

Scientific reports May 29, 2025
This study aimed to determine whether trigeminal neuralgia can be diagnosed using convolutional neural networks (CNNs) based on plain X-ray skull images. A labeled dataset of 166 skull images from patients aged over 16 years with trigeminal neuralgia...
Convolutional Neural Networks ROC Curve Radiography Male Middle Aged Deep Learning Trigeminal Neuralgia Skull Humans Aged Adult Neural Networks, Computer Female
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Auto-segmentation of cerebral cavernous malformations using a convolutional neural network.

BMC medical imaging May 26, 2025
BACKGROUND: This paper presents a deep learning model for the automated segmentation of cerebral cavernous malformations (CCMs).
Radiosurgery Hemangioma, Cavernous, Central Nervous System Deep Learning Convolutional Neural Networks Magnetic Resonance Imaging Adult Male Middle Aged Neural Networks, Computer Female Humans
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Bladder lesion detection using EfficientNet and hybrid attention transformer through attention transformation.

Scientific reports May 23, 2025
Bladder cancer diagnosis is a challenging task because of its intricacy and variation of tumor features. Moreover, morphological similarities of the cancerous cells make manual diagnosis time-consuming. Recently, machine learning and deep learning me...
Deep Learning Convolutional Neural Networks Urinary Bladder Neoplasms Urinary Bladder Neural Networks, Computer Machine Learning Algorithms Humans
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Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets.

Neuroinformatics May 19, 2025
Identifying likely placebo responders can help design more efficient clinical trials by stratifying participants, reducing sample size requirements, and enhancing the detection of true drug effects. In response to this need, we developed a deep convo...
Neural Networks, Computer Female Adult Depressive Disorder, Major Convolutional Neural Networks Male Middle Aged Humans Electroencephalography Placebo Effect
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