AIMC Topic: Neural Networks, Computer

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Time-Gated Raman Spectroscopy Combined with Deep Learning for Rapid, Label-Free Histopathological Discrimination of Gastric Cancer.

Analytical chemistry Jun 11, 2025
Gastric cancer is one of the most common malignant tumors of the digestive system, with a high mortality rate due to late-stage diagnosis. Current clinical diagnosis relies on endoscopic biopsy and histopathological analysis, which are highly depende...
Humans Deep Learning Time Factors Spectrum Analysis, Raman Neural Networks, Computer Stomach Neoplasms
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Deep learning neural network prediction of postoperative complications in patients undergoing laparoscopic right hemicolectomy with or without CME and CVL for colon cancer: insights from SICE (Società Italiana di Chirurgia Endoscopica) CoDIG data.

Techniques in coloproctology Jun 11, 2025
BACKGROUND: Postoperative complications in colorectal surgery can significantly impact patient outcomes and healthcare costs. Accurate prediction of these complications enables targeted perioperative management, improving patient safety and optimizin...
Ligation Colonic Neoplasms Colectomy Postoperative Complications Deep Learning Laparoscopy Italy Predictive Value of Tests Male Middle Aged Female Aged Neural Networks, Computer Databases, Factual Humans
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Implicit neural representation for medical image reconstruction.

Physics in medicine and biology Jun 11, 2025
Medical image reconstruction aims to generate high-quality images from incompletely sampled raw sensor data, which poses an ill-posed inverse problem. Traditional iterative reconstruction methods rely on prior information to empirically construct reg...
Humans Diagnostic Imaging Neural Networks, Computer Image Processing, Computer-Assisted
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POC-CSP: a novel parameterised and orthogonally-constrained neural network layer for learning common spatial patterns (CSP) in EEG signals.

Journal of neural engineering Jun 11, 2025
. Common spatial patterns (CSPs) has been established as a powerful feature extraction method in EEG signal processing with machine learning, but it has shortcomings including sensitivity to noise and rigidity in the value of the weights. Our goal wa...
Humans Neural Networks, Computer Brain-Computer Interfaces Imagination Male Electroencephalography Machine Learning Adult
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Tailored knowledge distillation with automated loss function learning.

PloS one Jun 11, 2025
Knowledge Distillation (KD) is one of the most effective and widely used methods for model compression of large models. It has achieved significant success with the meticulous development of distillation losses. However, most state-of-the-art KD loss...
Distillation Humans Machine Learning Learning Algorithms Neural Networks, Computer Knowledge
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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction.

PloS one Jun 11, 2025
Accurate traffic flow prediction is vital for intelligent transportation systems but presents significant challenges. Existing methods, however, have the following limitations: (1) insufficient exploration of interactions across different temporal sc...
Humans Algorithms Neural Networks, Computer Transportation Machine Learning
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An ensemble-based 3D residual network for the classification of Alzheimer's disease.

PloS one Jun 11, 2025
Alzheimer's disease (AD) is a common type of dementia, with mild cognitive impairment (MCI) being a key precursor. Early MCI diagnosis is crucial for slowing AD progression, but distinguishing MCI from normal controls (NC) is challenging due to subtl...
Deep Learning Cognitive Dysfunction Alzheimer Disease Aged Neural Networks, Computer Humans Male Female
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Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging.

PloS one Jun 11, 2025
Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial for improving patients' survival outcomes. In this paper, we propose to employ convolutional neural networks to model the non-linear relationship bet...
Humans Neural Networks, Computer Lung Neoplasms Proportional Hazards Models Male Tomography, X-Ray Computed Deep Learning Female
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Explainable one-class feature extraction by adaptive resonance for anomaly detection in quality assurance.

PloS one Jun 10, 2025
In this study, we address the inherent challenges in radiotherapy (RT) plan quality assessment (QA). RT, a prevalent cancer treatment, utilizes high-energy beams to target tumors while sparing adjacent healthy tissues. Typically, an RT plan is refine...
Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Algorithms Neoplasms Neural Networks, Computer Machine Learning Humans
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ADC-MambaNet: a lightweight U-shaped architecture with mamba and multi-dimensional priority attention for medical image segmentation.

Biomedical physics & engineering express Jun 9, 2025
Medical image segmentation is becoming a growing crucial step in assisting with disease detection and diagnosis. However, medical images often exhibit complex structures and textures, resulting in the need for highly complex methods. Particularly, wh...
Image Processing, Computer-Assisted Algorithms Deep Learning Humans Neural Networks, Computer
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